In [283]:
In [284]:
In [285]:
   PassengerId  Pclass                                               Name  \
0            1       3                            Braund, Mr. Owen Harris   
1            2       1  Cumings, Mrs. John Bradley (Florence Briggs Th...   
2            3       3                             Heikkinen, Miss. Laina   
3            4       1       Futrelle, Mrs. Jacques Heath (Lily May Peel)   
4            5       3                           Allen, Mr. William Henry   

      Sex   Age  SibSp  Parch            Ticket     Fare Cabin Embarked  \
0    male  22.0      1      0         A/5 21171   7.2500   NaN        S   
1  female  38.0      1      0          PC 17599  71.2833   C85        C   
2  female  26.0      0      0  STON/O2. 3101282   7.9250   NaN        S   
3  female  35.0      1      0            113803  53.1000  C123        S   
4    male  35.0      0      0            373450   8.0500   NaN        S   

   Survived  
0         0  
1         1  
2         1  
3         1  
4         0  
In [286]:
   PassengerId  Pclass                                          Name     Sex  \
0          892       3                              Kelly, Mr. James    male   
1          893       3              Wilkes, Mrs. James (Ellen Needs)  female   
2          894       2                     Myles, Mr. Thomas Francis    male   
3          895       3                              Wirz, Mr. Albert    male   
4          896       3  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female   

    Age  SibSp  Parch   Ticket     Fare Cabin Embarked  Survived  
0  34.5      0      0   330911   7.8292   NaN        Q         0  
1  47.0      1      0   363272   7.0000   NaN        S         1  
2  62.0      0      0   240276   9.6875   NaN        Q         0  
3  27.0      0      0   315154   8.6625   NaN        S         0  
4  22.0      1      1  3101298  12.2875   NaN        S         1  
In [287]:
In [288]:
Out[288]:
PassengerId Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked Survived
0 1 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S 0
1 2 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C 1
2 3 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 1
3 4 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S 1
4 5 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 NaN S 0
In [289]:
In [290]:
     Pclass                                               Name     Sex   Age  \
0         3                            Braund, Mr. Owen Harris    male  22.0   
1         1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0   
2         3                             Heikkinen, Miss. Laina  female  26.0   
3         1       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0   
4         3                           Allen, Mr. William Henry    male  35.0   
5         3                                   Moran, Mr. James    male   NaN   
6         1                            McCarthy, Mr. Timothy J    male  54.0   
7         3                     Palsson, Master. Gosta Leonard    male   2.0   
8         3  Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  female  27.0   
9         2                Nasser, Mrs. Nicholas (Adele Achem)  female  14.0   
10        3                    Sandstrom, Miss. Marguerite Rut  female   4.0   
11        1                           Bonnell, Miss. Elizabeth  female  58.0   
12        3                     Saundercock, Mr. William Henry    male  20.0   
13        3                        Andersson, Mr. Anders Johan    male  39.0   
14        3               Vestrom, Miss. Hulda Amanda Adolfina  female  14.0   
15        2                   Hewlett, Mrs. (Mary D Kingcome)   female  55.0   
16        3                               Rice, Master. Eugene    male   2.0   
17        2                       Williams, Mr. Charles Eugene    male   NaN   
18        3  Vander Planke, Mrs. Julius (Emelia Maria Vande...  female  31.0   
19        3                            Masselmani, Mrs. Fatima  female   NaN   
20        2                               Fynney, Mr. Joseph J    male  35.0   
21        2                              Beesley, Mr. Lawrence    male  34.0   
22        3                        McGowan, Miss. Anna "Annie"  female  15.0   
23        1                       Sloper, Mr. William Thompson    male  28.0   
24        3                      Palsson, Miss. Torborg Danira  female   8.0   
25        3  Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  female  38.0   
26        3                            Emir, Mr. Farred Chehab    male   NaN   
27        1                     Fortune, Mr. Charles Alexander    male  19.0   
28        3                      O'Dwyer, Miss. Ellen "Nellie"  female   NaN   
29        3                                Todoroff, Mr. Lalio    male   NaN   
..      ...                                                ...     ...   ...   
388       3                               Canavan, Mr. Patrick    male  21.0   
389       3                        Palsson, Master. Paul Folke    male   6.0   
390       1                         Payne, Mr. Vivian Ponsonby    male  23.0   
391       1     Lines, Mrs. Ernest H (Elizabeth Lindsey James)  female  51.0   
392       3                      Abbott, Master. Eugene Joseph    male  13.0   
393       2                               Gilbert, Mr. William    male  47.0   
394       3                           Kink-Heilmann, Mr. Anton    male  29.0   
395       1     Smith, Mrs. Lucien Philip (Mary Eloise Hughes)  female  18.0   
396       3                               Colbert, Mr. Patrick    male  24.0   
397       1  Frolicher-Stehli, Mrs. Maxmillian (Margaretha ...  female  48.0   
398       3                     Larsson-Rondberg, Mr. Edvard A    male  22.0   
399       3                           Conlon, Mr. Thomas Henry    male  31.0   
400       1                            Bonnell, Miss. Caroline  female  30.0   
401       2                                    Gale, Mr. Harry    male  38.0   
402       1                     Gibson, Miss. Dorothy Winifred  female  22.0   
403       1                             Carrau, Mr. Jose Pedro    male  17.0   
404       1                       Frauenthal, Mr. Isaac Gerald    male  43.0   
405       2       Nourney, Mr. Alfred (Baron von Drachstedt")"    male  20.0   
406       2                          Ware, Mr. William Jeffery    male  23.0   
407       1                         Widener, Mr. George Dunton    male  50.0   
408       3                    Riordan, Miss. Johanna Hannah""  female   NaN   
409       3                          Peacock, Miss. Treasteall  female   3.0   
410       3                             Naughton, Miss. Hannah  female   NaN   
411       1    Minahan, Mrs. William Edward (Lillian E Thorpe)  female  37.0   
412       3                     Henriksson, Miss. Jenny Lovisa  female  28.0   
413       3                                 Spector, Mr. Woolf    male   NaN   
414       1                       Oliva y Ocana, Dona. Fermina  female  39.0   
415       3                       Saether, Mr. Simon Sivertsen    male  38.5   
416       3                                Ware, Mr. Frederick    male   NaN   
417       3                           Peter, Master. Michael J    male   NaN   

     SibSp  Parch              Ticket      Fare        Cabin Embarked  \
0        1      0           A/5 21171    7.2500          NaN        S   
1        1      0            PC 17599   71.2833          C85        C   
2        0      0    STON/O2. 3101282    7.9250          NaN        S   
3        1      0              113803   53.1000         C123        S   
4        0      0              373450    8.0500          NaN        S   
5        0      0              330877    8.4583          NaN        Q   
6        0      0               17463   51.8625          E46        S   
7        3      1              349909   21.0750          NaN        S   
8        0      2              347742   11.1333          NaN        S   
9        1      0              237736   30.0708          NaN        C   
10       1      1             PP 9549   16.7000           G6        S   
11       0      0              113783   26.5500         C103        S   
12       0      0           A/5. 2151    8.0500          NaN        S   
13       1      5              347082   31.2750          NaN        S   
14       0      0              350406    7.8542          NaN        S   
15       0      0              248706   16.0000          NaN        S   
16       4      1              382652   29.1250          NaN        Q   
17       0      0              244373   13.0000          NaN        S   
18       1      0              345763   18.0000          NaN        S   
19       0      0                2649    7.2250          NaN        C   
20       0      0              239865   26.0000          NaN        S   
21       0      0              248698   13.0000          D56        S   
22       0      0              330923    8.0292          NaN        Q   
23       0      0              113788   35.5000           A6        S   
24       3      1              349909   21.0750          NaN        S   
25       1      5              347077   31.3875          NaN        S   
26       0      0                2631    7.2250          NaN        C   
27       3      2               19950  263.0000  C23 C25 C27        S   
28       0      0              330959    7.8792          NaN        Q   
29       0      0              349216    7.8958          NaN        S   
..     ...    ...                 ...       ...          ...      ...   
388      0      0              364858    7.7500          NaN        Q   
389      3      1              349909   21.0750          NaN        S   
390      0      0               12749   93.5000          B24        S   
391      0      1            PC 17592   39.4000          D28        S   
392      0      2           C.A. 2673   20.2500          NaN        S   
393      0      0          C.A. 30769   10.5000          NaN        S   
394      3      1              315153   22.0250          NaN        S   
395      1      0               13695   60.0000          C31        S   
396      0      0              371109    7.2500          NaN        Q   
397      1      1               13567   79.2000          B41        C   
398      0      0              347065    7.7750          NaN        S   
399      0      0               21332    7.7333          NaN        Q   
400      0      0               36928  164.8667           C7        S   
401      1      0               28664   21.0000          NaN        S   
402      0      1              112378   59.4000          NaN        C   
403      0      0              113059   47.1000          NaN        S   
404      1      0               17765   27.7208          D40        C   
405      0      0       SC/PARIS 2166   13.8625          D38        C   
406      1      0               28666   10.5000          NaN        S   
407      1      1              113503  211.5000          C80        C   
408      0      0              334915    7.7208          NaN        Q   
409      1      1  SOTON/O.Q. 3101315   13.7750          NaN        S   
410      0      0              365237    7.7500          NaN        Q   
411      1      0               19928   90.0000          C78        Q   
412      0      0              347086    7.7750          NaN        S   
413      0      0           A.5. 3236    8.0500          NaN        S   
414      0      0            PC 17758  108.9000         C105        C   
415      0      0  SOTON/O.Q. 3101262    7.2500          NaN        S   
416      0      0              359309    8.0500          NaN        S   
417      1      1                2668   22.3583          NaN        C   

     Survived  
0           0  
1           1  
2           1  
3           1  
4           0  
5           0  
6           0  
7           0  
8           1  
9           1  
10          1  
11          1  
12          0  
13          0  
14          0  
15          1  
16          0  
17          1  
18          0  
19          1  
20          0  
21          1  
22          1  
23          1  
24          0  
25          1  
26          0  
27          0  
28          1  
29          0  
..        ...  
388         0  
389         0  
390         0  
391         1  
392         0  
393         0  
394         0  
395         1  
396         0  
397         1  
398         0  
399         0  
400         1  
401         0  
402         1  
403         0  
404         0  
405         0  
406         0  
407         0  
408         1  
409         1  
410         1  
411         1  
412         1  
413         0  
414         1  
415         0  
416         0  
417         0  

[1309 rows x 11 columns]
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In [292]:
Out[292]:
Pclass Sex Age SibSp Parch Ticket Fare Cabin Embarked Survived name
0 3 male 22.0 1 0 A/5 21171 7.2500 NaN S 0 2
1 1 female 38.0 1 0 PC 17599 71.2833 C85 C 1 1
2 3 female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 1 3
3 1 female 35.0 1 0 113803 53.1000 C123 S 1 1
4 3 male 35.0 0 0 373450 8.0500 NaN S 0 2
In [293]:
In [294]:
Out[294]:
Pclass Sex Age Parch Ticket Fare Cabin Embarked Survived name Siblings
0 3 male 22.0 0 A/5 21171 7.2500 NaN S 0 2 1
1 1 female 38.0 0 PC 17599 71.2833 C85 C 1 1 1
2 3 female 26.0 0 STON/O2. 3101282 7.9250 NaN S 1 3 0
3 1 female 35.0 0 113803 53.1000 C123 S 1 1 1
4 3 male 35.0 0 373450 8.0500 NaN S 0 2 0
In [295]:
In [296]:
Out[296]:
Pclass Sex Age Ticket Fare Cabin Embarked Survived name Siblings Parent
0 3 male 22.0 A/5 21171 7.2500 NaN S 0 2 1 0
1 1 female 38.0 PC 17599 71.2833 C85 C 1 1 1 0
2 3 female 26.0 STON/O2. 3101282 7.9250 NaN S 1 3 0 0
3 1 female 35.0 113803 53.1000 C123 S 1 1 1 0
4 3 male 35.0 373450 8.0500 NaN S 0 2 0 0
In [297]:
Out[297]:
0      22.000000
1      38.000000
2      26.000000
3      35.000000
4      35.000000
5      29.881138
6      54.000000
7       2.000000
8      27.000000
9      14.000000
10      4.000000
11     58.000000
12     20.000000
13     39.000000
14     14.000000
15     55.000000
16      2.000000
17     29.881138
18     31.000000
19     29.881138
20     35.000000
21     34.000000
22     15.000000
23     28.000000
24      8.000000
25     38.000000
26     29.881138
27     19.000000
28     29.881138
29     29.881138
         ...    
388    21.000000
389     6.000000
390    23.000000
391    51.000000
392    13.000000
393    47.000000
394    29.000000
395    18.000000
396    24.000000
397    48.000000
398    22.000000
399    31.000000
400    30.000000
401    38.000000
402    22.000000
403    17.000000
404    43.000000
405    20.000000
406    23.000000
407    50.000000
408    29.881138
409     3.000000
410    29.881138
411    37.000000
412    28.000000
413    29.881138
414    39.000000
415    38.500000
416    29.881138
417    29.881138
Name: Age, Length: 1309, dtype: float64
In [298]:
In [299]:
In [300]:
In [301]:
Out[301]:
Pclass Sex Ticket Fare Cabin Embarked Survived name Siblings Parent age
0 3 male A/5 21171 7.2500 NaN S 0 2 1 0 2
1 1 female PC 17599 71.2833 C85 C 1 1 1 0 3
2 3 female STON/O2. 3101282 7.9250 NaN S 1 3 0 0 2
3 1 female 113803 53.1000 C123 S 1 1 1 0 3
4 3 male 373450 8.0500 NaN S 0 2 0 0 3
In [302]:
Out[302]:
0        7.2500
1       71.2833
2        7.9250
3       53.1000
4        8.0500
5        8.4583
6       51.8625
7       21.0750
8       11.1333
9       30.0708
10      16.7000
11      26.5500
12       8.0500
13      31.2750
14       7.8542
15      16.0000
16      29.1250
17      13.0000
18      18.0000
19       7.2250
20      26.0000
21      13.0000
22       8.0292
23      35.5000
24      21.0750
25      31.3875
26       7.2250
27     263.0000
28       7.8792
29       7.8958
         ...   
388      7.7500
389     21.0750
390     93.5000
391     39.4000
392     20.2500
393     10.5000
394     22.0250
395     60.0000
396      7.2500
397     79.2000
398      7.7750
399      7.7333
400    164.8667
401     21.0000
402     59.4000
403     47.1000
404     27.7208
405     13.8625
406     10.5000
407    211.5000
408      7.7208
409     13.7750
410      7.7500
411     90.0000
412      7.7750
413      8.0500
414    108.9000
415      7.2500
416      8.0500
417     22.3583
Name: Fare, Length: 1309, dtype: float64
In [303]:
In [304]:
In [305]:
In [306]:
Out[306]:
Pclass Sex Ticket Cabin Embarked Survived name Siblings Parent age fare
0 3 male A/5 21171 NaN S 0 2 1 0 2 1
1 1 female PC 17599 C85 C 1 1 1 0 3 3
2 3 female STON/O2. 3101282 NaN S 1 3 0 0 2 1
3 1 female 113803 C123 S 1 1 1 0 3 2
4 3 male 373450 NaN S 0 2 0 0 3 1
In [307]:
In [308]:
In [309]:
In [310]:
Out[310]:
Pclass Sex Cabin Embarked Survived name Siblings Parent age fare ticket
0 3 male NaN S 0 2 1 0 2 1 0
1 1 female C85 C 1 1 1 0 3 3 0
2 3 female NaN S 1 3 0 0 2 1 0
3 1 female C123 S 1 1 1 0 3 2 1
4 3 male NaN S 0 2 0 0 3 1 1
In [311]:
nan
C85
nan
C123
nan
nan
E46
nan
nan
nan
G6
C103
nan
nan
nan
nan
nan
nan
nan
nan
nan
D56
nan
A6
nan
nan
nan
C23 C25 C27
nan
nan
nan
B78
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
D33
nan
B30
C52
nan
nan
nan
nan
nan
B28
C83
nan
nan
nan
F33
nan
nan
nan
nan
nan
nan
nan
nan
F G73
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C23 C25 C27
nan
nan
nan
E31
nan
nan
nan
A5
D10 D12
nan
nan
nan
nan
D26
nan
nan
nan
nan
nan
nan
nan
C110
nan
nan
nan
nan
nan
nan
nan
B58 B60
nan
nan
nan
nan
E101
D26
nan
nan
nan
F E69
nan
nan
nan
nan
nan
nan
nan
D47
C123
nan
B86
nan
nan
nan
nan
nan
nan
nan
nan
F2
nan
nan
C2
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
E33
nan
nan
nan
B19
nan
nan
nan
A7
nan
nan
C49
nan
nan
nan
nan
nan
F4
nan
A32
nan
nan
nan
nan
nan
nan
nan
F2
B4
B80
nan
nan
nan
nan
nan
nan
nan
nan
nan
G6
nan
nan
nan
A31
nan
nan
nan
nan
nan
D36
nan
nan
D15
nan
nan
nan
nan
nan
C93
nan
nan
nan
nan
nan
C83
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C78
nan
nan
D35
nan
nan
G6
C87
nan
nan
nan
nan
B77
nan
nan
nan
nan
E67
B94
nan
nan
nan
nan
C125
C99
nan
nan
nan
C118
nan
D7
nan
nan
nan
nan
nan
nan
nan
nan
A19
nan
nan
nan
nan
nan
nan
B49
D
nan
nan
nan
nan
C22 C26
C106
B58 B60
nan
nan
nan
E101
nan
C22 C26
nan
C65
nan
E36
C54
B57 B59 B63 B66
nan
nan
nan
nan
nan
nan
C7
E34
nan
nan
nan
nan
nan
C32
nan
D
nan
B18
nan
C124
C91
nan
nan
nan
C2
E40
nan
T
F2
C23 C25 C27
nan
nan
nan
F33
nan
nan
nan
nan
nan
C128
nan
nan
nan
nan
E33
nan
nan
nan
nan
nan
nan
nan
nan
nan
D37
nan
nan
B35
E50
nan
nan
nan
nan
nan
nan
C82
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B96 B98
nan
nan
D36
G6
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C78
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
E10
C52
nan
nan
nan
E44
B96 B98
nan
nan
C23 C25 C27
nan
nan
nan
nan
nan
nan
A34
nan
nan
nan
C104
nan
nan
C111
C92
nan
nan
E38
D21
nan
nan
E12
nan
E63
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
D
nan
A14
nan
nan
nan
nan
nan
nan
nan
nan
B49
nan
C93
B37
nan
nan
nan
nan
C30
nan
nan
nan
D20
nan
C22 C26
nan
nan
nan
nan
nan
B79
C65
nan
nan
nan
nan
nan
nan
E25
nan
nan
D46
F33
nan
nan
nan
B73
nan
nan
B18
nan
nan
nan
C95
nan
nan
nan
nan
nan
nan
nan
nan
B38
nan
nan
B39
B22
nan
nan
nan
C86
nan
nan
nan
nan
nan
C70
nan
nan
nan
nan
nan
A16
nan
E67
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C101
E25
nan
nan
nan
nan
E44
nan
nan
nan
C68
nan
A10
nan
E68
nan
B41
nan
nan
nan
D20
nan
nan
nan
nan
nan
nan
nan
A20
nan
nan
nan
nan
nan
nan
nan
nan
nan
C125
nan
nan
nan
nan
nan
nan
nan
nan
F4
nan
nan
D19
nan
nan
nan
D50
nan
D9
nan
nan
A23
nan
B50
nan
nan
nan
nan
nan
nan
nan
nan
B35
nan
nan
nan
D33
nan
A26
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
D48
nan
nan
E58
nan
nan
nan
nan
nan
nan
C126
nan
B71
nan
nan
nan
nan
nan
nan
nan
B51 B53 B55
nan
D49
nan
nan
nan
nan
nan
nan
nan
B5
B20
nan
nan
nan
nan
nan
nan
nan
C68
F G63
C62 C64
E24
nan
nan
nan
nan
nan
E24
nan
nan
C90
C124
C126
nan
nan
F G73
C45
E101
nan
nan
nan
nan
nan
nan
E8
nan
nan
nan
nan
nan
B5
nan
nan
nan
nan
nan
nan
B101
nan
nan
D45
C46
B57 B59 B63 B66
nan
nan
B22
nan
nan
D30
nan
nan
E121
nan
nan
nan
nan
nan
nan
nan
B77
nan
nan
nan
B96 B98
nan
D11
nan
nan
nan
nan
nan
nan
E77
nan
nan
nan
F38
nan
nan
B3
nan
B20
D6
nan
nan
nan
nan
nan
nan
B82 B84
nan
nan
nan
nan
nan
nan
D17
nan
nan
nan
nan
nan
B96 B98
nan
nan
nan
A36
nan
nan
E8
nan
nan
nan
nan
nan
B102
nan
nan
nan
nan
B69
nan
nan
E121
nan
nan
nan
nan
nan
B28
nan
nan
nan
nan
nan
E49
nan
nan
nan
C47
nan
nan
nan
nan
nan
nan
nan
nan
nan
C92
nan
nan
nan
D28
nan
nan
nan
E17
nan
nan
nan
nan
D17
nan
nan
nan
nan
A24
nan
nan
nan
D35
B51 B53 B55
nan
nan
nan
nan
nan
nan
C50
nan
nan
nan
nan
nan
nan
nan
B42
nan
C148
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B45
nan
E31
nan
nan
nan
nan
nan
nan
nan
nan
nan
B57 B59 B63 B66
nan
B36
nan
A21
nan
nan
nan
nan
nan
C78
nan
nan
nan
nan
nan
nan
D34
nan
nan
D19
nan
A9
nan
D15
nan
C31
nan
nan
C23 C25 C27
nan
nan
nan
F G63
nan
B61
nan
nan
nan
nan
B57 B59 B63 B66
nan
nan
nan
C53
C23 C25 C27
nan
nan
nan
D43
C130
C132
nan
C101
nan
nan
nan
C55 C57
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B71
nan
nan
nan
C46
nan
nan
nan
C116
nan
nan
nan
nan
nan
nan
nan
nan
F
nan
nan
A29
nan
C55 C57
nan
nan
G6
C6
nan
nan
nan
C28
nan
nan
nan
nan
nan
nan
nan
nan
C51
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B57 B59 B63 B66
nan
nan
nan
E46
nan
nan
nan
C54
nan
nan
nan
nan
nan
C97
nan
D22
nan
nan
nan
nan
nan
nan
nan
B10
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C116
F4
E45
nan
E52
D30
nan
B58 B60
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
E34
nan
nan
nan
nan
nan
C62 C64
nan
nan
nan
nan
nan
A11
nan
nan
nan
nan
nan
nan
B11
nan
nan
C80
nan
nan
nan
F33
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C85
nan
D37
nan
nan
C86
nan
nan
E34
nan
nan
D21
nan
nan
nan
nan
nan
nan
C89
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
C6
nan
C89
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B45
F E46
nan
nan
nan
nan
A34
nan
nan
nan
nan
nan
nan
nan
D
nan
nan
nan
B26
C22 C26
nan
B69
nan
nan
nan
nan
nan
C32
nan
B78
nan
nan
nan
nan
F E57
F2
nan
nan
nan
F4
nan
nan
nan
nan
A18
nan
nan
nan
C106
nan
nan
nan
nan
nan
nan
nan
B51 B53 B55
nan
nan
nan
nan
nan
nan
D10 D12
nan
nan
nan
nan
E60
C101
nan
nan
nan
nan
nan
nan
nan
E50
nan
nan
nan
nan
nan
nan
E39 E41
B52 B54 B56
nan
A34
nan
nan
nan
C39
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
B24
D28
nan
nan
nan
C31
nan
B41
nan
nan
C7
nan
nan
nan
D40
D38
nan
C80
nan
nan
nan
C78
nan
nan
C105
nan
nan
nan
In [312]:
In [313]:
In [314]:
Out[314]:
Pclass Sex Embarked Survived name Siblings Parent age fare ticket cabin
0 3 male S 0 2 1 0 2 1 0 0
1 1 female C 1 1 1 0 3 3 0 1
2 3 female S 1 3 0 0 2 1 0 0
3 1 female S 1 1 1 0 3 2 1 1
4 3 male S 0 2 0 0 3 1 1 0
In [315]:
In [316]:
Out[316]:
Survived Pclass_1 Pclass_2 Pclass_3 Sex_female Sex_male Embarked_C Embarked_Q Embarked_S name_1 ... age_5 fare_1 fare_2 fare_3 fare_4 fare_5 ticket_0 ticket_1 cabin_0 cabin_1
0 0 0 0 1 0 1 0 0 1 0 ... 0 1 0 0 0 0 1 0 1 0
1 1 1 0 0 1 0 1 0 0 1 ... 0 0 0 1 0 0 1 0 0 1
2 1 0 0 1 1 0 0 0 1 0 ... 0 1 0 0 0 0 1 0 1 0
3 1 1 0 0 1 0 0 0 1 1 ... 0 0 1 0 0 0 0 1 0 1
4 0 0 0 1 0 1 0 0 1 0 ... 0 1 0 0 0 0 0 1 1 0

5 rows × 32 columns

In [317]:
In [318]:
In [319]:
In [320]:

Neural Networks

In [321]:
In [322]:
In [323]:
In [324]:
In [225]:
a
Train on 916 samples, validate on 393 samples
Epoch 1/500
916/916 [==============================] - 0s 227us/sample - loss: 0.4987 - acc: 0.7358 - val_loss: 0.3983 - val_acc: 0.8524
Epoch 2/500
916/916 [==============================] - 0s 66us/sample - loss: 0.3750 - acc: 0.8537 - val_loss: 0.3721 - val_acc: 0.8575
Epoch 3/500
916/916 [==============================] - 0s 60us/sample - loss: 0.3643 - acc: 0.8493 - val_loss: 0.3841 - val_acc: 0.8524
Epoch 4/500
916/916 [==============================] - 0s 61us/sample - loss: 0.3532 - acc: 0.8559 - val_loss: 0.3586 - val_acc: 0.8601
Epoch 5/500
916/916 [==============================] - 0s 58us/sample - loss: 0.3357 - acc: 0.8723 - val_loss: 0.3690 - val_acc: 0.8524
Epoch 6/500
916/916 [==============================] - 0s 67us/sample - loss: 0.3231 - acc: 0.8777 - val_loss: 0.3697 - val_acc: 0.8601
Epoch 7/500
916/916 [==============================] - 0s 60us/sample - loss: 0.3224 - acc: 0.8788 - val_loss: 0.3637 - val_acc: 0.8626
Epoch 8/500
916/916 [==============================] - 0s 64us/sample - loss: 0.3084 - acc: 0.8854 - val_loss: 0.3752 - val_acc: 0.8626
Epoch 9/500
916/916 [==============================] - 0s 64us/sample - loss: 0.3167 - acc: 0.8766 - val_loss: 0.3983 - val_acc: 0.8448
Epoch 10/500
916/916 [==============================] - 0s 92us/sample - loss: 0.2870 - acc: 0.8897 - val_loss: 0.4014 - val_acc: 0.8550
Epoch 11/500
916/916 [==============================] - 0s 77us/sample - loss: 0.2865 - acc: 0.8941 - val_loss: 0.3937 - val_acc: 0.8499
Epoch 12/500
916/916 [==============================] - 0s 75us/sample - loss: 0.2733 - acc: 0.8919 - val_loss: 0.4223 - val_acc: 0.8499
Epoch 13/500
916/916 [==============================] - 0s 84us/sample - loss: 0.2737 - acc: 0.8908 - val_loss: 0.4251 - val_acc: 0.8499
Epoch 14/500
916/916 [==============================] - 0s 84us/sample - loss: 0.2664 - acc: 0.9007 - val_loss: 0.4333 - val_acc: 0.8499
Epoch 15/500
916/916 [==============================] - 0s 77us/sample - loss: 0.2541 - acc: 0.9061 - val_loss: 0.4887 - val_acc: 0.8422
Epoch 16/500
916/916 [==============================] - 0s 69us/sample - loss: 0.2527 - acc: 0.9017 - val_loss: 0.4682 - val_acc: 0.8473
Epoch 17/500
916/916 [==============================] - 0s 71us/sample - loss: 0.2316 - acc: 0.9094 - val_loss: 0.4812 - val_acc: 0.8473
Epoch 18/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2317 - acc: 0.9170 - val_loss: 0.5029 - val_acc: 0.8397
Epoch 19/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2210 - acc: 0.9127 - val_loss: 0.5336 - val_acc: 0.8372
Epoch 20/500
916/916 [==============================] - 0s 59us/sample - loss: 0.2312 - acc: 0.9148 - val_loss: 0.5017 - val_acc: 0.8346
Epoch 21/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2226 - acc: 0.9170 - val_loss: 0.5824 - val_acc: 0.8422
Epoch 22/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2304 - acc: 0.9148 - val_loss: 0.5455 - val_acc: 0.8448
Epoch 23/500
916/916 [==============================] - 0s 58us/sample - loss: 0.2192 - acc: 0.9192 - val_loss: 0.5632 - val_acc: 0.8346
Epoch 24/500
916/916 [==============================] - 0s 57us/sample - loss: 0.2142 - acc: 0.9192 - val_loss: 0.5681 - val_acc: 0.8422
Epoch 25/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2147 - acc: 0.9203 - val_loss: 0.5964 - val_acc: 0.8448
Epoch 26/500
916/916 [==============================] - 0s 57us/sample - loss: 0.2124 - acc: 0.9105 - val_loss: 0.6149 - val_acc: 0.8372
Epoch 27/500
916/916 [==============================] - 0s 59us/sample - loss: 0.2029 - acc: 0.9214 - val_loss: 0.6404 - val_acc: 0.8372
Epoch 28/500
916/916 [==============================] - 0s 59us/sample - loss: 0.2133 - acc: 0.9138 - val_loss: 0.6062 - val_acc: 0.8270
Epoch 29/500
916/916 [==============================] - 0s 60us/sample - loss: 0.2257 - acc: 0.9138 - val_loss: 0.6351 - val_acc: 0.8372
Epoch 30/500
916/916 [==============================] - 0s 96us/sample - loss: 0.2250 - acc: 0.9127 - val_loss: 0.6886 - val_acc: 0.8422
Epoch 31/500
916/916 [==============================] - 0s 66us/sample - loss: 0.2093 - acc: 0.9170 - val_loss: 0.6607 - val_acc: 0.8346
Epoch 32/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2018 - acc: 0.9192 - val_loss: 0.7038 - val_acc: 0.8397
Epoch 33/500
916/916 [==============================] - 0s 67us/sample - loss: 0.2001 - acc: 0.9214 - val_loss: 0.7017 - val_acc: 0.8372
Epoch 34/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1986 - acc: 0.9192 - val_loss: 0.7194 - val_acc: 0.8372
Epoch 35/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2000 - acc: 0.9203 - val_loss: 0.7095 - val_acc: 0.8422
Epoch 36/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1974 - acc: 0.9159 - val_loss: 0.7384 - val_acc: 0.8372
Epoch 37/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1951 - acc: 0.9214 - val_loss: 0.7674 - val_acc: 0.8397
Epoch 38/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1960 - acc: 0.9192 - val_loss: 0.7783 - val_acc: 0.8397
Epoch 39/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1987 - acc: 0.9214 - val_loss: 0.7678 - val_acc: 0.8372
Epoch 40/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1969 - acc: 0.9192 - val_loss: 0.8118 - val_acc: 0.8422
Epoch 41/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1925 - acc: 0.9214 - val_loss: 0.7939 - val_acc: 0.8372
Epoch 42/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1971 - acc: 0.9159 - val_loss: 0.7742 - val_acc: 0.8372
Epoch 43/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1938 - acc: 0.9192 - val_loss: 0.8419 - val_acc: 0.8346
Epoch 44/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1897 - acc: 0.9170 - val_loss: 0.9028 - val_acc: 0.8397
Epoch 45/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1943 - acc: 0.9225 - val_loss: 0.8314 - val_acc: 0.8397
Epoch 46/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1942 - acc: 0.9181 - val_loss: 0.9114 - val_acc: 0.8372
Epoch 47/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1916 - acc: 0.9192 - val_loss: 0.9218 - val_acc: 0.8397
Epoch 48/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1887 - acc: 0.9170 - val_loss: 0.8996 - val_acc: 0.8346
Epoch 49/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1851 - acc: 0.9214 - val_loss: 0.9628 - val_acc: 0.8372
Epoch 50/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1924 - acc: 0.9225 - val_loss: 0.9504 - val_acc: 0.8321
Epoch 51/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1873 - acc: 0.9192 - val_loss: 0.9402 - val_acc: 0.8397
Epoch 52/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1882 - acc: 0.9170 - val_loss: 0.9646 - val_acc: 0.8397
Epoch 53/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1888 - acc: 0.9192 - val_loss: 1.0224 - val_acc: 0.8346
Epoch 54/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1924 - acc: 0.9192 - val_loss: 0.9067 - val_acc: 0.8397
Epoch 55/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1906 - acc: 0.9192 - val_loss: 1.0035 - val_acc: 0.8448
Epoch 56/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1861 - acc: 0.9225 - val_loss: 0.9833 - val_acc: 0.8422
Epoch 57/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1831 - acc: 0.9203 - val_loss: 1.0479 - val_acc: 0.8397
Epoch 58/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1859 - acc: 0.9236 - val_loss: 1.1254 - val_acc: 0.8397
Epoch 59/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1885 - acc: 0.9170 - val_loss: 1.0231 - val_acc: 0.8422
Epoch 60/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1857 - acc: 0.9225 - val_loss: 1.0673 - val_acc: 0.8422
Epoch 61/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1869 - acc: 0.9214 - val_loss: 1.1115 - val_acc: 0.8372
Epoch 62/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1851 - acc: 0.9203 - val_loss: 1.0929 - val_acc: 0.8422
Epoch 63/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1843 - acc: 0.9192 - val_loss: 1.1671 - val_acc: 0.8372
Epoch 64/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1841 - acc: 0.9225 - val_loss: 1.1188 - val_acc: 0.8448
Epoch 65/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1805 - acc: 0.9203 - val_loss: 1.1780 - val_acc: 0.8422
Epoch 66/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1820 - acc: 0.9225 - val_loss: 1.2009 - val_acc: 0.8397
Epoch 67/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1863 - acc: 0.9170 - val_loss: 1.1925 - val_acc: 0.8397
Epoch 68/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1841 - acc: 0.9225 - val_loss: 1.1597 - val_acc: 0.8346
Epoch 69/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1837 - acc: 0.9214 - val_loss: 1.1928 - val_acc: 0.8397
Epoch 70/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1806 - acc: 0.9203 - val_loss: 1.2274 - val_acc: 0.8372
Epoch 71/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1828 - acc: 0.9203 - val_loss: 1.2832 - val_acc: 0.8372
Epoch 72/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1826 - acc: 0.9192 - val_loss: 1.2728 - val_acc: 0.8321
Epoch 73/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1880 - acc: 0.9203 - val_loss: 1.1978 - val_acc: 0.8372
Epoch 74/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1816 - acc: 0.9225 - val_loss: 1.2904 - val_acc: 0.8422
Epoch 75/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1812 - acc: 0.9192 - val_loss: 1.3182 - val_acc: 0.8397
Epoch 76/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1804 - acc: 0.9214 - val_loss: 1.2342 - val_acc: 0.8397
Epoch 77/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1802 - acc: 0.9214 - val_loss: 1.3220 - val_acc: 0.8397
Epoch 78/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1819 - acc: 0.9203 - val_loss: 1.2963 - val_acc: 0.8422
Epoch 79/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1784 - acc: 0.9214 - val_loss: 1.3232 - val_acc: 0.8346
Epoch 80/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1817 - acc: 0.9236 - val_loss: 1.3150 - val_acc: 0.8422
Epoch 81/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1836 - acc: 0.9170 - val_loss: 1.3065 - val_acc: 0.8321
Epoch 82/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1811 - acc: 0.9225 - val_loss: 1.3495 - val_acc: 0.8372
Epoch 83/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1812 - acc: 0.9214 - val_loss: 1.3536 - val_acc: 0.8346
Epoch 84/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1804 - acc: 0.9214 - val_loss: 1.3983 - val_acc: 0.8346
Epoch 85/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1785 - acc: 0.9181 - val_loss: 1.4485 - val_acc: 0.8422
Epoch 86/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1804 - acc: 0.9192 - val_loss: 1.4225 - val_acc: 0.8346
Epoch 87/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1792 - acc: 0.9192 - val_loss: 1.4440 - val_acc: 0.8372
Epoch 88/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1796 - acc: 0.9170 - val_loss: 1.4770 - val_acc: 0.8346
Epoch 89/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1798 - acc: 0.9181 - val_loss: 1.4580 - val_acc: 0.8372
Epoch 90/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1800 - acc: 0.9214 - val_loss: 1.4333 - val_acc: 0.8397
Epoch 91/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1812 - acc: 0.9203 - val_loss: 1.5171 - val_acc: 0.8321
Epoch 92/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1798 - acc: 0.9192 - val_loss: 1.4751 - val_acc: 0.8422
Epoch 93/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1786 - acc: 0.9192 - val_loss: 1.4967 - val_acc: 0.8346
Epoch 94/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1786 - acc: 0.9192 - val_loss: 1.4455 - val_acc: 0.8372
Epoch 95/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1801 - acc: 0.9225 - val_loss: 1.4813 - val_acc: 0.8346
Epoch 96/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1779 - acc: 0.9192 - val_loss: 1.5344 - val_acc: 0.8422
Epoch 97/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1777 - acc: 0.9192 - val_loss: 1.5393 - val_acc: 0.8346
Epoch 98/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1805 - acc: 0.9181 - val_loss: 1.5171 - val_acc: 0.8372
Epoch 99/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1782 - acc: 0.9203 - val_loss: 1.5545 - val_acc: 0.8346
Epoch 100/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1781 - acc: 0.9225 - val_loss: 1.5543 - val_acc: 0.8346
Epoch 101/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1784 - acc: 0.9203 - val_loss: 1.5724 - val_acc: 0.8346
Epoch 102/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1795 - acc: 0.9203 - val_loss: 1.5280 - val_acc: 0.8346
Epoch 103/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1776 - acc: 0.9170 - val_loss: 1.5268 - val_acc: 0.8372
Epoch 104/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1780 - acc: 0.9214 - val_loss: 1.5804 - val_acc: 0.8346
Epoch 105/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1808 - acc: 0.9181 - val_loss: 1.6256 - val_acc: 0.8397
Epoch 106/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1770 - acc: 0.9214 - val_loss: 1.5635 - val_acc: 0.8346
Epoch 107/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1791 - acc: 0.9225 - val_loss: 1.5941 - val_acc: 0.8372
Epoch 108/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1786 - acc: 0.9203 - val_loss: 1.5985 - val_acc: 0.8372
Epoch 109/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1791 - acc: 0.9225 - val_loss: 1.6251 - val_acc: 0.8321
Epoch 110/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1807 - acc: 0.9225 - val_loss: 1.6269 - val_acc: 0.8346
Epoch 111/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1796 - acc: 0.9225 - val_loss: 1.6133 - val_acc: 0.8372
Epoch 112/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1809 - acc: 0.9214 - val_loss: 1.6212 - val_acc: 0.8346
Epoch 113/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1829 - acc: 0.9170 - val_loss: 1.6324 - val_acc: 0.8372
Epoch 114/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1813 - acc: 0.9170 - val_loss: 1.6349 - val_acc: 0.8346
Epoch 115/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1782 - acc: 0.9181 - val_loss: 1.6584 - val_acc: 0.8346
Epoch 116/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1821 - acc: 0.9236 - val_loss: 1.6410 - val_acc: 0.8397
Epoch 117/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1794 - acc: 0.9181 - val_loss: 1.6309 - val_acc: 0.8346
Epoch 118/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1785 - acc: 0.9192 - val_loss: 1.6642 - val_acc: 0.8372
Epoch 119/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1782 - acc: 0.9203 - val_loss: 1.6980 - val_acc: 0.8372
Epoch 120/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1796 - acc: 0.9192 - val_loss: 1.6651 - val_acc: 0.8346
Epoch 121/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1779 - acc: 0.9214 - val_loss: 1.6547 - val_acc: 0.8346
Epoch 122/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1784 - acc: 0.9214 - val_loss: 1.6666 - val_acc: 0.8346
Epoch 123/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1796 - acc: 0.9214 - val_loss: 1.6735 - val_acc: 0.8346
Epoch 124/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1785 - acc: 0.9225 - val_loss: 1.6958 - val_acc: 0.8397
Epoch 125/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1764 - acc: 0.9225 - val_loss: 1.7062 - val_acc: 0.8397
Epoch 126/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1772 - acc: 0.9225 - val_loss: 1.7303 - val_acc: 0.8321
Epoch 127/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1777 - acc: 0.9214 - val_loss: 1.7145 - val_acc: 0.8372
Epoch 128/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1775 - acc: 0.9203 - val_loss: 1.6897 - val_acc: 0.8397
Epoch 129/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1769 - acc: 0.9214 - val_loss: 1.7649 - val_acc: 0.8346
Epoch 130/500
916/916 [==============================] - 0s 51us/sample - loss: 0.1787 - acc: 0.9192 - val_loss: 1.7336 - val_acc: 0.8397
Epoch 131/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1782 - acc: 0.9181 - val_loss: 1.7260 - val_acc: 0.8346
Epoch 132/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1768 - acc: 0.9203 - val_loss: 1.6975 - val_acc: 0.8346
Epoch 133/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1776 - acc: 0.9203 - val_loss: 1.7372 - val_acc: 0.8321
Epoch 134/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1795 - acc: 0.9181 - val_loss: 1.7614 - val_acc: 0.8321
Epoch 135/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1778 - acc: 0.9225 - val_loss: 1.7306 - val_acc: 0.8346
Epoch 136/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1793 - acc: 0.9192 - val_loss: 1.7722 - val_acc: 0.8372
Epoch 137/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1795 - acc: 0.9225 - val_loss: 1.7670 - val_acc: 0.8346
Epoch 138/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1781 - acc: 0.9181 - val_loss: 1.7503 - val_acc: 0.8372
Epoch 139/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1778 - acc: 0.9225 - val_loss: 1.7585 - val_acc: 0.8397
Epoch 140/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1764 - acc: 0.9236 - val_loss: 1.7920 - val_acc: 0.8397
Epoch 141/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1787 - acc: 0.9203 - val_loss: 1.8057 - val_acc: 0.8346
Epoch 142/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1775 - acc: 0.9203 - val_loss: 1.8463 - val_acc: 0.8321
Epoch 143/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1783 - acc: 0.9225 - val_loss: 1.7833 - val_acc: 0.8346
Epoch 144/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1801 - acc: 0.9236 - val_loss: 1.7382 - val_acc: 0.8270
Epoch 145/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1779 - acc: 0.9236 - val_loss: 1.7641 - val_acc: 0.8346
Epoch 146/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1791 - acc: 0.9203 - val_loss: 1.7481 - val_acc: 0.8346
Epoch 147/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1780 - acc: 0.9192 - val_loss: 1.8103 - val_acc: 0.8372
Epoch 148/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1778 - acc: 0.9192 - val_loss: 1.8536 - val_acc: 0.8372
Epoch 149/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1773 - acc: 0.9203 - val_loss: 1.8641 - val_acc: 0.8321
Epoch 150/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1766 - acc: 0.9225 - val_loss: 1.9047 - val_acc: 0.8346
Epoch 151/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1783 - acc: 0.9181 - val_loss: 1.8779 - val_acc: 0.8372
Epoch 152/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1778 - acc: 0.9192 - val_loss: 1.8432 - val_acc: 0.8321
Epoch 153/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1778 - acc: 0.9225 - val_loss: 1.8667 - val_acc: 0.8321
Epoch 154/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1777 - acc: 0.9203 - val_loss: 1.8718 - val_acc: 0.8346
Epoch 155/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1769 - acc: 0.9214 - val_loss: 1.8895 - val_acc: 0.8295
Epoch 156/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1768 - acc: 0.9192 - val_loss: 1.8654 - val_acc: 0.8372
Epoch 157/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.8709 - val_acc: 0.8321
Epoch 158/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1809 - acc: 0.9225 - val_loss: 1.9070 - val_acc: 0.8372
Epoch 159/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1782 - acc: 0.9214 - val_loss: 1.8555 - val_acc: 0.8346
Epoch 160/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1774 - acc: 0.9214 - val_loss: 1.8726 - val_acc: 0.8346
Epoch 161/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1772 - acc: 0.9170 - val_loss: 1.8821 - val_acc: 0.8321
Epoch 162/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1777 - acc: 0.9247 - val_loss: 1.8537 - val_acc: 0.8372
Epoch 163/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1774 - acc: 0.9192 - val_loss: 1.9278 - val_acc: 0.8346
Epoch 164/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1780 - acc: 0.9170 - val_loss: 1.9116 - val_acc: 0.8372
Epoch 165/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1776 - acc: 0.9214 - val_loss: 1.9386 - val_acc: 0.8295
Epoch 166/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1773 - acc: 0.9203 - val_loss: 1.8549 - val_acc: 0.8346
Epoch 167/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 1.9406 - val_acc: 0.8346
Epoch 168/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1777 - acc: 0.9225 - val_loss: 1.9635 - val_acc: 0.8321
Epoch 169/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1763 - acc: 0.9225 - val_loss: 1.9414 - val_acc: 0.8372
Epoch 170/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1760 - acc: 0.9214 - val_loss: 1.9512 - val_acc: 0.8372
Epoch 171/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.9806 - val_acc: 0.8321
Epoch 172/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 1.9518 - val_acc: 0.8397
Epoch 173/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1775 - acc: 0.9159 - val_loss: 1.9769 - val_acc: 0.8372
Epoch 174/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1773 - acc: 0.9225 - val_loss: 1.9704 - val_acc: 0.8346
Epoch 175/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1772 - acc: 0.9192 - val_loss: 1.8867 - val_acc: 0.8346
Epoch 176/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1772 - acc: 0.9214 - val_loss: 1.9359 - val_acc: 0.8321
Epoch 177/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1770 - acc: 0.9225 - val_loss: 1.9678 - val_acc: 0.8372
Epoch 178/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1771 - acc: 0.9236 - val_loss: 2.0283 - val_acc: 0.8346
Epoch 179/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1767 - acc: 0.9192 - val_loss: 2.0703 - val_acc: 0.8397
Epoch 180/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1772 - acc: 0.9203 - val_loss: 1.9604 - val_acc: 0.8346
Epoch 181/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1768 - acc: 0.9247 - val_loss: 1.9692 - val_acc: 0.8321
Epoch 182/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1767 - acc: 0.9192 - val_loss: 2.0234 - val_acc: 0.8422
Epoch 183/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1758 - acc: 0.9181 - val_loss: 2.0178 - val_acc: 0.8372
Epoch 184/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1771 - acc: 0.9192 - val_loss: 2.0147 - val_acc: 0.8321
Epoch 185/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1770 - acc: 0.9236 - val_loss: 2.0381 - val_acc: 0.8321
Epoch 186/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1789 - acc: 0.9214 - val_loss: 2.0447 - val_acc: 0.8346
Epoch 187/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1782 - acc: 0.9236 - val_loss: 1.9570 - val_acc: 0.8372
Epoch 188/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1767 - acc: 0.9203 - val_loss: 1.9471 - val_acc: 0.8372
Epoch 189/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1766 - acc: 0.9181 - val_loss: 1.9850 - val_acc: 0.8346
Epoch 190/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1772 - acc: 0.9192 - val_loss: 2.0507 - val_acc: 0.8321
Epoch 191/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1796 - acc: 0.9170 - val_loss: 2.0271 - val_acc: 0.8346
Epoch 192/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1772 - acc: 0.9225 - val_loss: 2.0051 - val_acc: 0.8372
Epoch 193/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1770 - acc: 0.9236 - val_loss: 2.0311 - val_acc: 0.8397
Epoch 194/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 2.0654 - val_acc: 0.8346
Epoch 195/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1767 - acc: 0.9225 - val_loss: 2.0190 - val_acc: 0.8346
Epoch 196/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1779 - acc: 0.9203 - val_loss: 2.0891 - val_acc: 0.8346
Epoch 197/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1810 - acc: 0.9214 - val_loss: 2.0245 - val_acc: 0.8321
Epoch 198/500
916/916 [==============================] - 0s 57us/sample - loss: 0.2224 - acc: 0.9159 - val_loss: 1.3593 - val_acc: 0.8168
Epoch 199/500
916/916 [==============================] - 0s 57us/sample - loss: 0.2922 - acc: 0.8908 - val_loss: 0.7853 - val_acc: 0.8397
Epoch 200/500
916/916 [==============================] - 0s 60us/sample - loss: 0.2979 - acc: 0.8930 - val_loss: 0.5268 - val_acc: 0.8422
Epoch 201/500
916/916 [==============================] - 0s 54us/sample - loss: 0.2454 - acc: 0.8963 - val_loss: 0.6948 - val_acc: 0.8270
Epoch 202/500
916/916 [==============================] - 0s 56us/sample - loss: 0.2205 - acc: 0.9192 - val_loss: 0.8388 - val_acc: 0.8397
Epoch 203/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2035 - acc: 0.9159 - val_loss: 0.9899 - val_acc: 0.8372
Epoch 204/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1931 - acc: 0.9192 - val_loss: 1.1888 - val_acc: 0.8422
Epoch 205/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1908 - acc: 0.9203 - val_loss: 1.2164 - val_acc: 0.8372
Epoch 206/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1879 - acc: 0.9181 - val_loss: 1.2471 - val_acc: 0.8346
Epoch 207/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1867 - acc: 0.9181 - val_loss: 1.2943 - val_acc: 0.8473
Epoch 208/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1844 - acc: 0.9236 - val_loss: 1.4018 - val_acc: 0.8346
Epoch 209/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1858 - acc: 0.9192 - val_loss: 1.3298 - val_acc: 0.8372
Epoch 210/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1825 - acc: 0.9203 - val_loss: 1.4070 - val_acc: 0.8448
Epoch 211/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1801 - acc: 0.9225 - val_loss: 1.4337 - val_acc: 0.8397
Epoch 212/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1803 - acc: 0.9214 - val_loss: 1.5169 - val_acc: 0.8448
Epoch 213/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1803 - acc: 0.9225 - val_loss: 1.5417 - val_acc: 0.8397
Epoch 214/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1805 - acc: 0.9236 - val_loss: 1.4982 - val_acc: 0.8448
Epoch 215/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1818 - acc: 0.9203 - val_loss: 1.5607 - val_acc: 0.8448
Epoch 216/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1833 - acc: 0.9192 - val_loss: 1.5185 - val_acc: 0.8372
Epoch 217/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1798 - acc: 0.9236 - val_loss: 1.5545 - val_acc: 0.8397
Epoch 218/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1789 - acc: 0.9192 - val_loss: 1.6842 - val_acc: 0.8422
Epoch 219/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1765 - acc: 0.9214 - val_loss: 1.6717 - val_acc: 0.8372
Epoch 220/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1772 - acc: 0.9225 - val_loss: 1.7039 - val_acc: 0.8372
Epoch 221/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1772 - acc: 0.9170 - val_loss: 1.7275 - val_acc: 0.8397
Epoch 222/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1776 - acc: 0.9159 - val_loss: 1.7404 - val_acc: 0.8397
Epoch 223/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1779 - acc: 0.9203 - val_loss: 1.7186 - val_acc: 0.8372
Epoch 224/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 1.7291 - val_acc: 0.8422
Epoch 225/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1771 - acc: 0.9192 - val_loss: 1.7342 - val_acc: 0.8397
Epoch 226/500
916/916 [==============================] - 0s 72us/sample - loss: 0.1770 - acc: 0.9181 - val_loss: 1.7381 - val_acc: 0.8397
Epoch 227/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1764 - acc: 0.9203 - val_loss: 1.7794 - val_acc: 0.8372
Epoch 228/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1775 - acc: 0.9192 - val_loss: 1.6702 - val_acc: 0.8499
Epoch 229/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1786 - acc: 0.9203 - val_loss: 1.7317 - val_acc: 0.8473
Epoch 230/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1763 - acc: 0.9225 - val_loss: 1.7066 - val_acc: 0.8448
Epoch 231/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1762 - acc: 0.9214 - val_loss: 1.7361 - val_acc: 0.8397
Epoch 232/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 1.7823 - val_acc: 0.8397
Epoch 233/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1773 - acc: 0.9225 - val_loss: 1.8281 - val_acc: 0.8372
Epoch 234/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1764 - acc: 0.9203 - val_loss: 1.7786 - val_acc: 0.8372
Epoch 235/500
916/916 [==============================] - 0s 51us/sample - loss: 0.1773 - acc: 0.9225 - val_loss: 1.7938 - val_acc: 0.8372
Epoch 236/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1765 - acc: 0.9236 - val_loss: 1.7301 - val_acc: 0.8448
Epoch 237/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1759 - acc: 0.9225 - val_loss: 1.8240 - val_acc: 0.8397
Epoch 238/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1760 - acc: 0.9214 - val_loss: 1.8766 - val_acc: 0.8397
Epoch 239/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1761 - acc: 0.9203 - val_loss: 1.8369 - val_acc: 0.8422
Epoch 240/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.8267 - val_acc: 0.8448
Epoch 241/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.8424 - val_acc: 0.8422
Epoch 242/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1771 - acc: 0.9192 - val_loss: 1.8645 - val_acc: 0.8372
Epoch 243/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1777 - acc: 0.9170 - val_loss: 1.8824 - val_acc: 0.8346
Epoch 244/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1759 - acc: 0.9170 - val_loss: 1.8874 - val_acc: 0.8397
Epoch 245/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1761 - acc: 0.9236 - val_loss: 1.8646 - val_acc: 0.8422
Epoch 246/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1751 - acc: 0.9192 - val_loss: 1.8687 - val_acc: 0.8422
Epoch 247/500
916/916 [==============================] - 0s 51us/sample - loss: 0.1765 - acc: 0.9225 - val_loss: 1.8586 - val_acc: 0.8397
Epoch 248/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1765 - acc: 0.9225 - val_loss: 1.8895 - val_acc: 0.8422
Epoch 249/500
916/916 [==============================] - 0s 101us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 1.8800 - val_acc: 0.8372
Epoch 250/500
916/916 [==============================] - 0s 78us/sample - loss: 0.1758 - acc: 0.9181 - val_loss: 1.8837 - val_acc: 0.8372
Epoch 251/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1757 - acc: 0.9236 - val_loss: 1.9088 - val_acc: 0.8397
Epoch 252/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1768 - acc: 0.9236 - val_loss: 1.9276 - val_acc: 0.8397
Epoch 253/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.8964 - val_acc: 0.8422
Epoch 254/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.9229 - val_acc: 0.8372
Epoch 255/500
916/916 [==============================] - 0s 49us/sample - loss: 0.1762 - acc: 0.9192 - val_loss: 1.9504 - val_acc: 0.8397
Epoch 256/500
916/916 [==============================] - 0s 49us/sample - loss: 0.1765 - acc: 0.9192 - val_loss: 1.9115 - val_acc: 0.8422
Epoch 257/500
916/916 [==============================] - 0s 51us/sample - loss: 0.1764 - acc: 0.9203 - val_loss: 1.9033 - val_acc: 0.8397
Epoch 258/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1782 - acc: 0.9236 - val_loss: 1.8989 - val_acc: 0.8397
Epoch 259/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1766 - acc: 0.9236 - val_loss: 1.8999 - val_acc: 0.8372
Epoch 260/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1759 - acc: 0.9170 - val_loss: 1.9249 - val_acc: 0.8397
Epoch 261/500
916/916 [==============================] - 0s 82us/sample - loss: 0.1754 - acc: 0.9192 - val_loss: 1.9061 - val_acc: 0.8397
Epoch 262/500
916/916 [==============================] - 0s 73us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 1.9505 - val_acc: 0.8346
Epoch 263/500
916/916 [==============================] - 0s 43us/sample - loss: 0.1770 - acc: 0.9192 - val_loss: 1.9164 - val_acc: 0.8448
Epoch 264/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1762 - acc: 0.9192 - val_loss: 1.9083 - val_acc: 0.8397
Epoch 265/500
916/916 [==============================] - 0s 89us/sample - loss: 0.1762 - acc: 0.9236 - val_loss: 1.9216 - val_acc: 0.8372
Epoch 266/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1762 - acc: 0.9203 - val_loss: 1.9219 - val_acc: 0.8372
Epoch 267/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1758 - acc: 0.9236 - val_loss: 1.9580 - val_acc: 0.8397
Epoch 268/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1765 - acc: 0.9192 - val_loss: 1.9411 - val_acc: 0.8346
Epoch 269/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.9177 - val_acc: 0.8372
Epoch 270/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1763 - acc: 0.9236 - val_loss: 1.9242 - val_acc: 0.8346
Epoch 271/500
916/916 [==============================] - 0s 75us/sample - loss: 0.1770 - acc: 0.9192 - val_loss: 1.9374 - val_acc: 0.8422
Epoch 272/500
916/916 [==============================] - 0s 91us/sample - loss: 0.1764 - acc: 0.9170 - val_loss: 1.9357 - val_acc: 0.8397
Epoch 273/500
916/916 [==============================] - 0s 76us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 1.9543 - val_acc: 0.8422
Epoch 274/500
916/916 [==============================] - 0s 48us/sample - loss: 0.1761 - acc: 0.9203 - val_loss: 1.9510 - val_acc: 0.8448
Epoch 275/500
916/916 [==============================] - 0s 47us/sample - loss: 0.1756 - acc: 0.9181 - val_loss: 1.9766 - val_acc: 0.8372
Epoch 276/500
916/916 [==============================] - 0s 47us/sample - loss: 0.1760 - acc: 0.9159 - val_loss: 1.9788 - val_acc: 0.8397
Epoch 277/500
916/916 [==============================] - 0s 48us/sample - loss: 0.1767 - acc: 0.9236 - val_loss: 1.9638 - val_acc: 0.8372
Epoch 278/500
916/916 [==============================] - 0s 47us/sample - loss: 0.1766 - acc: 0.9203 - val_loss: 1.9718 - val_acc: 0.8422
Epoch 279/500
916/916 [==============================] - 0s 46us/sample - loss: 0.1761 - acc: 0.9225 - val_loss: 1.9298 - val_acc: 0.8422
Epoch 280/500
916/916 [==============================] - 0s 44us/sample - loss: 0.1747 - acc: 0.9214 - val_loss: 1.9367 - val_acc: 0.8422
Epoch 281/500
916/916 [==============================] - 0s 43us/sample - loss: 0.1756 - acc: 0.9170 - val_loss: 1.9828 - val_acc: 0.8397
Epoch 282/500
916/916 [==============================] - 0s 43us/sample - loss: 0.1768 - acc: 0.9181 - val_loss: 1.9507 - val_acc: 0.8422
Epoch 283/500
916/916 [==============================] - 0s 43us/sample - loss: 0.1754 - acc: 0.9192 - val_loss: 1.9678 - val_acc: 0.8372
Epoch 284/500
916/916 [==============================] - 0s 44us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.9415 - val_acc: 0.8448
Epoch 285/500
916/916 [==============================] - 0s 44us/sample - loss: 0.1784 - acc: 0.9203 - val_loss: 1.9414 - val_acc: 0.8448
Epoch 286/500
916/916 [==============================] - 0s 45us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.9678 - val_acc: 0.8448
Epoch 287/500
916/916 [==============================] - 0s 44us/sample - loss: 0.1757 - acc: 0.9192 - val_loss: 1.9767 - val_acc: 0.8372
Epoch 288/500
916/916 [==============================] - 0s 107us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.9465 - val_acc: 0.8448
Epoch 289/500
916/916 [==============================] - 0s 69us/sample - loss: 0.1753 - acc: 0.9214 - val_loss: 1.9612 - val_acc: 0.8397
Epoch 290/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.9702 - val_acc: 0.8397
Epoch 291/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1759 - acc: 0.9192 - val_loss: 1.9975 - val_acc: 0.8397
Epoch 292/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1760 - acc: 0.9192 - val_loss: 1.9759 - val_acc: 0.8397
Epoch 293/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.9850 - val_acc: 0.8422
Epoch 294/500
916/916 [==============================] - 0s 91us/sample - loss: 0.1754 - acc: 0.9247 - val_loss: 1.9480 - val_acc: 0.8346
Epoch 295/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1789 - acc: 0.9236 - val_loss: 1.9772 - val_acc: 0.8397
Epoch 296/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1769 - acc: 0.9192 - val_loss: 2.0032 - val_acc: 0.8397
Epoch 297/500
916/916 [==============================] - 0s 75us/sample - loss: 0.1743 - acc: 0.9236 - val_loss: 1.9814 - val_acc: 0.8397
Epoch 298/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1765 - acc: 0.9214 - val_loss: 1.9750 - val_acc: 0.8397
Epoch 299/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1775 - acc: 0.9192 - val_loss: 2.0236 - val_acc: 0.8372
Epoch 300/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1758 - acc: 0.9159 - val_loss: 1.9848 - val_acc: 0.8397
Epoch 301/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1756 - acc: 0.9192 - val_loss: 2.0191 - val_acc: 0.8372
Epoch 302/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1756 - acc: 0.9192 - val_loss: 1.9804 - val_acc: 0.8422
Epoch 303/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1756 - acc: 0.9214 - val_loss: 1.9844 - val_acc: 0.8448
Epoch 304/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.9522 - val_acc: 0.8448
Epoch 305/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 1.9787 - val_acc: 0.8397
Epoch 306/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1759 - acc: 0.9236 - val_loss: 1.9971 - val_acc: 0.8422
Epoch 307/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 2.0177 - val_acc: 0.8448
Epoch 308/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 2.0233 - val_acc: 0.8422
Epoch 309/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 2.0083 - val_acc: 0.8397
Epoch 310/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1759 - acc: 0.9203 - val_loss: 2.0639 - val_acc: 0.8448
Epoch 311/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1778 - acc: 0.9214 - val_loss: 1.9383 - val_acc: 0.8372
Epoch 312/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1767 - acc: 0.9225 - val_loss: 1.9720 - val_acc: 0.8346
Epoch 313/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1760 - acc: 0.9203 - val_loss: 1.9671 - val_acc: 0.8422
Epoch 314/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1765 - acc: 0.9181 - val_loss: 1.9877 - val_acc: 0.8321
Epoch 315/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1751 - acc: 0.9203 - val_loss: 1.9642 - val_acc: 0.8346
Epoch 316/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1759 - acc: 0.9192 - val_loss: 1.9787 - val_acc: 0.8397
Epoch 317/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1763 - acc: 0.9225 - val_loss: 1.8407 - val_acc: 0.8448
Epoch 318/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1761 - acc: 0.9225 - val_loss: 1.9538 - val_acc: 0.8422
Epoch 319/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1766 - acc: 0.9225 - val_loss: 1.8813 - val_acc: 0.8473
Epoch 320/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1763 - acc: 0.9225 - val_loss: 1.9679 - val_acc: 0.8448
Epoch 321/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1799 - acc: 0.9170 - val_loss: 1.9569 - val_acc: 0.8422
Epoch 322/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1993 - acc: 0.9214 - val_loss: 2.0094 - val_acc: 0.8397
Epoch 323/500
916/916 [==============================] - 0s 69us/sample - loss: 0.2778 - acc: 0.9017 - val_loss: 0.9422 - val_acc: 0.8422
Epoch 324/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2872 - acc: 0.8985 - val_loss: 0.6384 - val_acc: 0.8422
Epoch 325/500
916/916 [==============================] - 0s 54us/sample - loss: 0.2441 - acc: 0.9105 - val_loss: 0.7706 - val_acc: 0.8397
Epoch 326/500
916/916 [==============================] - 0s 54us/sample - loss: 0.2143 - acc: 0.9170 - val_loss: 0.9778 - val_acc: 0.8422
Epoch 327/500
916/916 [==============================] - 0s 54us/sample - loss: 0.2036 - acc: 0.9170 - val_loss: 1.1129 - val_acc: 0.8372
Epoch 328/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1959 - acc: 0.9225 - val_loss: 1.3130 - val_acc: 0.8422
Epoch 329/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1923 - acc: 0.9192 - val_loss: 1.2924 - val_acc: 0.8372
Epoch 330/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1864 - acc: 0.9192 - val_loss: 1.4299 - val_acc: 0.8372
Epoch 331/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1849 - acc: 0.9192 - val_loss: 1.5313 - val_acc: 0.8473
Epoch 332/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1824 - acc: 0.9192 - val_loss: 1.6112 - val_acc: 0.8372
Epoch 333/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1835 - acc: 0.9236 - val_loss: 1.5736 - val_acc: 0.8422
Epoch 334/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1820 - acc: 0.9214 - val_loss: 1.6740 - val_acc: 0.8397
Epoch 335/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1804 - acc: 0.9225 - val_loss: 1.7105 - val_acc: 0.8321
Epoch 336/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1802 - acc: 0.9159 - val_loss: 1.7604 - val_acc: 0.8321
Epoch 337/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1806 - acc: 0.9192 - val_loss: 1.8083 - val_acc: 0.8321
Epoch 338/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1776 - acc: 0.9214 - val_loss: 1.8506 - val_acc: 0.8321
Epoch 339/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1792 - acc: 0.9181 - val_loss: 1.8355 - val_acc: 0.8321
Epoch 340/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1781 - acc: 0.9148 - val_loss: 1.8908 - val_acc: 0.8372
Epoch 341/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1783 - acc: 0.9214 - val_loss: 1.8337 - val_acc: 0.8346
Epoch 342/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1773 - acc: 0.9192 - val_loss: 1.8152 - val_acc: 0.8321
Epoch 343/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1779 - acc: 0.9214 - val_loss: 1.8859 - val_acc: 0.8346
Epoch 344/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1777 - acc: 0.9181 - val_loss: 1.8857 - val_acc: 0.8372
Epoch 345/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1768 - acc: 0.9181 - val_loss: 1.9084 - val_acc: 0.8321
Epoch 346/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1778 - acc: 0.9214 - val_loss: 1.8967 - val_acc: 0.8346
Epoch 347/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1781 - acc: 0.9170 - val_loss: 1.8913 - val_acc: 0.8321
Epoch 348/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1769 - acc: 0.9192 - val_loss: 1.9393 - val_acc: 0.8346
Epoch 349/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1763 - acc: 0.9214 - val_loss: 1.9603 - val_acc: 0.8295
Epoch 350/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1766 - acc: 0.9203 - val_loss: 1.9780 - val_acc: 0.8346
Epoch 351/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1761 - acc: 0.9247 - val_loss: 1.9954 - val_acc: 0.8346
Epoch 352/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1759 - acc: 0.9203 - val_loss: 1.9921 - val_acc: 0.8346
Epoch 353/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1764 - acc: 0.9159 - val_loss: 1.9887 - val_acc: 0.8346
Epoch 354/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1757 - acc: 0.9170 - val_loss: 1.9842 - val_acc: 0.8321
Epoch 355/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1756 - acc: 0.9181 - val_loss: 2.0223 - val_acc: 0.8346
Epoch 356/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 2.0419 - val_acc: 0.8346
Epoch 357/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1766 - acc: 0.9203 - val_loss: 2.0376 - val_acc: 0.8397
Epoch 358/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1765 - acc: 0.9247 - val_loss: 2.0532 - val_acc: 0.8346
Epoch 359/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1769 - acc: 0.9225 - val_loss: 2.0282 - val_acc: 0.8321
Epoch 360/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1759 - acc: 0.9214 - val_loss: 2.0425 - val_acc: 0.8346
Epoch 361/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1756 - acc: 0.9214 - val_loss: 2.0557 - val_acc: 0.8372
Epoch 362/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 2.0749 - val_acc: 0.8321
Epoch 363/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 2.0924 - val_acc: 0.8321
Epoch 364/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 2.1113 - val_acc: 0.8346
Epoch 365/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1763 - acc: 0.9170 - val_loss: 2.1010 - val_acc: 0.8321
Epoch 366/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1773 - acc: 0.9203 - val_loss: 2.0797 - val_acc: 0.8372
Epoch 367/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1760 - acc: 0.9181 - val_loss: 2.0588 - val_acc: 0.8321
Epoch 368/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1756 - acc: 0.9214 - val_loss: 2.0434 - val_acc: 0.8321
Epoch 369/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1749 - acc: 0.9236 - val_loss: 2.0942 - val_acc: 0.8321
Epoch 370/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 2.1213 - val_acc: 0.8346
Epoch 371/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 2.1258 - val_acc: 0.8346
Epoch 372/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 2.1119 - val_acc: 0.8346
Epoch 373/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 2.1222 - val_acc: 0.8346
Epoch 374/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1754 - acc: 0.9236 - val_loss: 2.1038 - val_acc: 0.8346
Epoch 375/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1762 - acc: 0.9203 - val_loss: 2.1243 - val_acc: 0.8321
Epoch 376/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1759 - acc: 0.9203 - val_loss: 2.1192 - val_acc: 0.8346
Epoch 377/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1762 - acc: 0.9225 - val_loss: 2.1626 - val_acc: 0.8372
Epoch 378/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1756 - acc: 0.9192 - val_loss: 2.1827 - val_acc: 0.8346
Epoch 379/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1752 - acc: 0.9225 - val_loss: 2.1796 - val_acc: 0.8372
Epoch 380/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 2.1213 - val_acc: 0.8372
Epoch 381/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 2.1285 - val_acc: 0.8397
Epoch 382/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1755 - acc: 0.9181 - val_loss: 2.1553 - val_acc: 0.8372
Epoch 383/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1756 - acc: 0.9214 - val_loss: 2.1525 - val_acc: 0.8372
Epoch 384/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1778 - acc: 0.9203 - val_loss: 2.1750 - val_acc: 0.8346
Epoch 385/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1763 - acc: 0.9170 - val_loss: 2.1565 - val_acc: 0.8346
Epoch 386/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 2.1404 - val_acc: 0.8346
Epoch 387/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1752 - acc: 0.9192 - val_loss: 2.1411 - val_acc: 0.8346
Epoch 388/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1752 - acc: 0.9170 - val_loss: 2.0815 - val_acc: 0.8372
Epoch 389/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1755 - acc: 0.9170 - val_loss: 2.1360 - val_acc: 0.8397
Epoch 390/500
916/916 [==============================] - 0s 71us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 2.0703 - val_acc: 0.8346
Epoch 391/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1760 - acc: 0.9258 - val_loss: 2.0965 - val_acc: 0.8372
Epoch 392/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1768 - acc: 0.9236 - val_loss: 2.0183 - val_acc: 0.8372
Epoch 393/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 2.0040 - val_acc: 0.8321
Epoch 394/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1755 - acc: 0.9192 - val_loss: 2.0769 - val_acc: 0.8372
Epoch 395/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1754 - acc: 0.9159 - val_loss: 2.1047 - val_acc: 0.8372
Epoch 396/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 2.1207 - val_acc: 0.8372
Epoch 397/500
916/916 [==============================] - 0s 51us/sample - loss: 0.1764 - acc: 0.9225 - val_loss: 2.1153 - val_acc: 0.8372
Epoch 398/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1762 - acc: 0.9236 - val_loss: 2.1695 - val_acc: 0.8397
Epoch 399/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1762 - acc: 0.9214 - val_loss: 2.1799 - val_acc: 0.8397
Epoch 400/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1750 - acc: 0.9225 - val_loss: 2.0420 - val_acc: 0.8346
Epoch 401/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 2.0510 - val_acc: 0.8397
Epoch 402/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1763 - acc: 0.9214 - val_loss: 2.0986 - val_acc: 0.8372
Epoch 403/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1759 - acc: 0.9214 - val_loss: 2.1241 - val_acc: 0.8372
Epoch 404/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1750 - acc: 0.9214 - val_loss: 2.1486 - val_acc: 0.8397
Epoch 405/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 2.1855 - val_acc: 0.8448
Epoch 406/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1758 - acc: 0.9170 - val_loss: 2.1541 - val_acc: 0.8372
Epoch 407/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1758 - acc: 0.9192 - val_loss: 2.1970 - val_acc: 0.8372
Epoch 408/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1752 - acc: 0.9181 - val_loss: 2.1938 - val_acc: 0.8346
Epoch 409/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 2.1875 - val_acc: 0.8372
Epoch 410/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1749 - acc: 0.9214 - val_loss: 2.1835 - val_acc: 0.8397
Epoch 411/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1753 - acc: 0.9192 - val_loss: 2.1782 - val_acc: 0.8448
Epoch 412/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 2.2198 - val_acc: 0.8397
Epoch 413/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1753 - acc: 0.9225 - val_loss: 2.2259 - val_acc: 0.8372
Epoch 414/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1750 - acc: 0.9159 - val_loss: 2.2274 - val_acc: 0.8397
Epoch 415/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1757 - acc: 0.9192 - val_loss: 2.2681 - val_acc: 0.8422
Epoch 416/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1772 - acc: 0.9214 - val_loss: 2.1610 - val_acc: 0.8372
Epoch 417/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1796 - acc: 0.9225 - val_loss: 1.8358 - val_acc: 0.8422
Epoch 418/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1778 - acc: 0.9247 - val_loss: 1.8178 - val_acc: 0.8372
Epoch 419/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1755 - acc: 0.9203 - val_loss: 2.0602 - val_acc: 0.8397
Epoch 420/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1813 - acc: 0.9225 - val_loss: 1.6905 - val_acc: 0.8397
Epoch 421/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1870 - acc: 0.9192 - val_loss: 1.3397 - val_acc: 0.8321
Epoch 422/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1870 - acc: 0.9203 - val_loss: 1.7383 - val_acc: 0.8346
Epoch 423/500
916/916 [==============================] - 0s 56us/sample - loss: 0.2053 - acc: 0.9203 - val_loss: 1.4919 - val_acc: 0.8346
Epoch 424/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1877 - acc: 0.9170 - val_loss: 1.8568 - val_acc: 0.8448
Epoch 425/500
916/916 [==============================] - 0s 55us/sample - loss: 0.2200 - acc: 0.9170 - val_loss: 1.1680 - val_acc: 0.8473
Epoch 426/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1906 - acc: 0.9170 - val_loss: 1.5595 - val_acc: 0.8372
Epoch 427/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1846 - acc: 0.9214 - val_loss: 1.4503 - val_acc: 0.8397
Epoch 428/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1812 - acc: 0.9225 - val_loss: 1.4869 - val_acc: 0.8422
Epoch 429/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1792 - acc: 0.9203 - val_loss: 1.6328 - val_acc: 0.8397
Epoch 430/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1777 - acc: 0.9214 - val_loss: 1.6676 - val_acc: 0.8372
Epoch 431/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1766 - acc: 0.9214 - val_loss: 1.7510 - val_acc: 0.8321
Epoch 432/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1765 - acc: 0.9192 - val_loss: 1.7885 - val_acc: 0.8321
Epoch 433/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.8333 - val_acc: 0.8346
Epoch 434/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 1.8428 - val_acc: 0.8346
Epoch 435/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.8324 - val_acc: 0.8346
Epoch 436/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.8405 - val_acc: 0.8346
Epoch 437/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1751 - acc: 0.9247 - val_loss: 1.8765 - val_acc: 0.8346
Epoch 438/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1758 - acc: 0.9192 - val_loss: 1.9018 - val_acc: 0.8346
Epoch 439/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.8921 - val_acc: 0.8346
Epoch 440/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.9163 - val_acc: 0.8346
Epoch 441/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 1.9409 - val_acc: 0.8321
Epoch 442/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1754 - acc: 0.9247 - val_loss: 1.9417 - val_acc: 0.8346
Epoch 443/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1748 - acc: 0.9236 - val_loss: 1.9645 - val_acc: 0.8372
Epoch 444/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1754 - acc: 0.9225 - val_loss: 1.9556 - val_acc: 0.8372
Epoch 445/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1754 - acc: 0.9247 - val_loss: 1.9496 - val_acc: 0.8295
Epoch 446/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1766 - acc: 0.9214 - val_loss: 1.9534 - val_acc: 0.8321
Epoch 447/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 1.9449 - val_acc: 0.8346
Epoch 448/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1748 - acc: 0.9236 - val_loss: 1.9649 - val_acc: 0.8321
Epoch 449/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1749 - acc: 0.9214 - val_loss: 1.9445 - val_acc: 0.8372
Epoch 450/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1757 - acc: 0.9247 - val_loss: 1.9399 - val_acc: 0.8372
Epoch 451/500
916/916 [==============================] - 0s 52us/sample - loss: 0.1748 - acc: 0.9225 - val_loss: 1.9600 - val_acc: 0.8346
Epoch 452/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 1.9564 - val_acc: 0.8422
Epoch 453/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1753 - acc: 0.9236 - val_loss: 1.9838 - val_acc: 0.8397
Epoch 454/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 1.9977 - val_acc: 0.8321
Epoch 455/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 1.9984 - val_acc: 0.8346
Epoch 456/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1754 - acc: 0.9203 - val_loss: 2.0324 - val_acc: 0.8321
Epoch 457/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1749 - acc: 0.9236 - val_loss: 2.0129 - val_acc: 0.8346
Epoch 458/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1750 - acc: 0.9181 - val_loss: 2.0221 - val_acc: 0.8321
Epoch 459/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 2.0278 - val_acc: 0.8321
Epoch 460/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1762 - acc: 0.9203 - val_loss: 2.0203 - val_acc: 0.8397
Epoch 461/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1747 - acc: 0.9203 - val_loss: 2.0395 - val_acc: 0.8372
Epoch 462/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 2.0466 - val_acc: 0.8346
Epoch 463/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1747 - acc: 0.9225 - val_loss: 2.0503 - val_acc: 0.8346
Epoch 464/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1746 - acc: 0.9247 - val_loss: 2.0464 - val_acc: 0.8372
Epoch 465/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1746 - acc: 0.9214 - val_loss: 2.0585 - val_acc: 0.8372
Epoch 466/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1747 - acc: 0.9236 - val_loss: 2.0488 - val_acc: 0.8372
Epoch 467/500
916/916 [==============================] - 0s 55us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 2.0586 - val_acc: 0.8346
Epoch 468/500
916/916 [==============================] - 0s 69us/sample - loss: 0.1744 - acc: 0.9203 - val_loss: 2.0753 - val_acc: 0.8372
Epoch 469/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1752 - acc: 0.9203 - val_loss: 2.0806 - val_acc: 0.8372
Epoch 470/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1759 - acc: 0.9214 - val_loss: 2.0769 - val_acc: 0.8321
Epoch 471/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1750 - acc: 0.9192 - val_loss: 2.0585 - val_acc: 0.8346
Epoch 472/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1746 - acc: 0.9225 - val_loss: 2.0743 - val_acc: 0.8346
Epoch 473/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 2.0860 - val_acc: 0.8295
Epoch 474/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1751 - acc: 0.9214 - val_loss: 2.1095 - val_acc: 0.8346
Epoch 475/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 2.0811 - val_acc: 0.8321
Epoch 476/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 2.0848 - val_acc: 0.8346
Epoch 477/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1749 - acc: 0.9236 - val_loss: 2.1288 - val_acc: 0.8321
Epoch 478/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1755 - acc: 0.9181 - val_loss: 2.1281 - val_acc: 0.8321
Epoch 479/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1749 - acc: 0.9236 - val_loss: 2.1201 - val_acc: 0.8346
Epoch 480/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 2.1174 - val_acc: 0.8321
Epoch 481/500
916/916 [==============================] - 0s 53us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 2.1302 - val_acc: 0.8321
Epoch 482/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1751 - acc: 0.9214 - val_loss: 2.1470 - val_acc: 0.8295
Epoch 483/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 2.1493 - val_acc: 0.8321
Epoch 484/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1786 - acc: 0.9225 - val_loss: 2.1469 - val_acc: 0.8270
Epoch 485/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1763 - acc: 0.9225 - val_loss: 2.1481 - val_acc: 0.8346
Epoch 486/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1749 - acc: 0.9181 - val_loss: 2.1129 - val_acc: 0.8372
Epoch 487/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 2.1083 - val_acc: 0.8346
Epoch 488/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1752 - acc: 0.9192 - val_loss: 2.1203 - val_acc: 0.8346
Epoch 489/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1751 - acc: 0.9203 - val_loss: 2.1346 - val_acc: 0.8346
Epoch 490/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1746 - acc: 0.9181 - val_loss: 2.1348 - val_acc: 0.8321
Epoch 491/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1747 - acc: 0.9214 - val_loss: 2.1345 - val_acc: 0.8346
Epoch 492/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 2.1509 - val_acc: 0.8346
Epoch 493/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 2.1547 - val_acc: 0.8321
Epoch 494/500
916/916 [==============================] - 0s 54us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 2.1681 - val_acc: 0.8321
Epoch 495/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1755 - acc: 0.9203 - val_loss: 2.1374 - val_acc: 0.8295
Epoch 496/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1758 - acc: 0.9192 - val_loss: 2.1573 - val_acc: 0.8321
Epoch 497/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 2.1676 - val_acc: 0.8295
Epoch 498/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1750 - acc: 0.9225 - val_loss: 2.1590 - val_acc: 0.8321
Epoch 499/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1748 - acc: 0.9236 - val_loss: 2.1413 - val_acc: 0.8321
Epoch 500/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1748 - acc: 0.9192 - val_loss: 2.1747 - val_acc: 0.8295
b
[[3.15904617e-06 9.99996841e-01]
 [6.37433350e-01 3.62566650e-01]
 [3.30711156e-01 6.69288874e-01]
 ...
 [4.75158185e-01 5.24841785e-01]
 [3.73995803e-08 9.99999940e-01]
 [6.52391016e-02 9.34760928e-01]]
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-225-c36416d297f7> in <module>
     26                                                    kernel_width=None,discretize_continuous=True)
     27 observation=55
---> 28 exp = explainer.explain_instance(X_test[observation_1], predict_fn_nn, num_features=5,top_labels=1)

NameError: name 'observation_1' is not defined

In [241]:
Prediction probabilities0.07Survived0.93Not_Survived
SurvivedNot_SurvivedSex_female <= 0.000.34name_1 <= 0.000.320.00 < Sex_male <= 1.000.22Pclass_1 <= 0.000.130.00 < Pclass_3 <= 1.000.12
FeatureValue
Sex_female0.00
name_10.00
Sex_male1.00
Pclass_10.00
Pclass_31.00
In [232]:
Prediction probabilities0.84Survived0.16Not_Survived
SurvivedNot_Survivedname_1 <= 0.000.320.00 < Sex_female <=...0.31Sex_male <= 0.000.21fare_3 <= 0.000.170.00 < Pclass_3 <= 1.000.14
FeatureValue
name_10.00
Sex_female1.00
Sex_male0.00
fare_30.00
Pclass_31.00
In [237]:
Prediction probabilities0.79Survived0.21Not_Survived
SurvivedNot_Survived0.00 < Sex_female <=...0.32name_1 > 0.000.29Sex_male <= 0.000.23fare_3 <= 0.000.22Pclass_3 <= 0.000.14
FeatureValue
Sex_female1.00
name_11.00
Sex_male0.00
fare_30.00
Pclass_30.00

XGB

In [242]:
In [245]:
In [253]:
Prediction probabilities0.24Survived0.76Not_Survived
SurvivedNot_Survived0.00 < Sex_female <=...0.54fare_3 <= 0.000.150.00 < Pclass_3 <= 1.000.12name_2 <= 0.000.12name_1 <= 0.000.12
FeatureValue
Sex_female1.00
fare_30.00
Pclass_31.00
name_20.00
name_10.00
In [252]:
Prediction probabilities0.91Survived0.09Not_Survived
SurvivedNot_SurvivedSex_female <= 0.000.54fare_3 <= 0.000.13name_1 <= 0.000.130.00 < name_2 <= 1.000.120.00 < Pclass_3 <= 1.000.11
FeatureValue
Sex_female0.00
fare_30.00
name_10.00
name_21.00
Pclass_31.00
In [251]:
Prediction probabilities0.57Survived0.43Not_Survived
SurvivedNot_SurvivedSex_female <= 0.000.54name_2 <= 0.000.13fare_3 <= 0.000.13name_1 <= 0.000.13Pclass_3 <= 0.000.12
FeatureValue
Sex_female0.00
name_20.00
fare_30.00
name_10.00
Pclass_30.00
In [254]:
Out[254]:
{1: [(3, 0.5441379658340547),
  (24, -0.15448119146031272),
  (2, -0.1233271814431237),
  (9, 0.11870380100373268),
  (8, -0.11796994360496856)]}
In [255]:
Out[255]:
In [256]:
Out[256]:
[('0.00 < Sex_female <= 1.00', 0.5441379658340547),
 ('fare_3 <= 0.00', -0.15448119146031272),
 ('0.00 < Pclass_3 <= 1.00', -0.1233271814431237),
 ('name_2 <= 0.00', 0.11870380100373268),
 ('name_1 <= 0.00', -0.11796994360496856)]

Random Forest

In [257]:
In [258]:
/home/abhijit/.local/lib/python3.6/site-packages/sklearn/ensemble/forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.
  "10 in version 0.20 to 100 in 0.22.", FutureWarning)
In [259]:
Prediction probabilities1.00Survived0.00Not_Survived
SurvivedNot_Survived0.00 < name_2 <= 1.000.24Sex_female <= 0.000.170.00 < Sex_male <= 1.000.15name_1 <= 0.000.09Parent_1 <= 0.000.05
FeatureValue
name_21.00
Sex_female0.00
Sex_male1.00
name_10.00
Parent_10.00
In [263]:
Prediction probabilities0.00Survived1.00Not_Survived
SurvivedNot_Survivedname_2 <= 0.000.240.00 < Sex_female <=...0.17Sex_male <= 0.000.15name_1 <= 0.000.11cabin_1 > 0.000.06
FeatureValue
name_20.00
Sex_female1.00
Sex_male0.00
name_10.00
cabin_11.00
In [264]:
Out[264]:

SHAP

Tree Explainers

In [272]:
In [273]:

Visualizing the Interpretable models

Decision Tree

In [325]:
Train on 916 samples, validate on 393 samples
Epoch 1/500
916/916 [==============================] - 1s 847us/sample - loss: 0.4872 - acc: 0.7795 - val_loss: 0.3605 - val_acc: 0.8550
Epoch 2/500
916/916 [==============================] - 0s 75us/sample - loss: 0.3957 - acc: 0.8603 - val_loss: 0.3708 - val_acc: 0.8626
Epoch 3/500
916/916 [==============================] - 0s 73us/sample - loss: 0.3535 - acc: 0.8635 - val_loss: 0.3465 - val_acc: 0.8651
Epoch 4/500
916/916 [==============================] - 0s 68us/sample - loss: 0.3416 - acc: 0.8668 - val_loss: 0.3367 - val_acc: 0.8677
Epoch 5/500
916/916 [==============================] - 0s 75us/sample - loss: 0.3246 - acc: 0.8766 - val_loss: 0.3454 - val_acc: 0.8677
Epoch 6/500
916/916 [==============================] - 0s 68us/sample - loss: 0.3119 - acc: 0.8854 - val_loss: 0.3537 - val_acc: 0.8626
Epoch 7/500
916/916 [==============================] - 0s 71us/sample - loss: 0.3096 - acc: 0.8832 - val_loss: 0.3455 - val_acc: 0.8702
Epoch 8/500
916/916 [==============================] - 0s 65us/sample - loss: 0.2965 - acc: 0.8865 - val_loss: 0.3491 - val_acc: 0.8702
Epoch 9/500
916/916 [==============================] - 0s 64us/sample - loss: 0.3049 - acc: 0.8821 - val_loss: 0.3641 - val_acc: 0.8728
Epoch 10/500
916/916 [==============================] - 0s 71us/sample - loss: 0.2833 - acc: 0.8919 - val_loss: 0.3634 - val_acc: 0.8550
Epoch 11/500
916/916 [==============================] - 0s 74us/sample - loss: 0.2764 - acc: 0.8974 - val_loss: 0.3891 - val_acc: 0.8728
Epoch 12/500
916/916 [==============================] - 0s 72us/sample - loss: 0.2653 - acc: 0.8963 - val_loss: 0.3988 - val_acc: 0.8473
Epoch 13/500
916/916 [==============================] - 0s 67us/sample - loss: 0.2646 - acc: 0.9017 - val_loss: 0.3856 - val_acc: 0.8499
Epoch 14/500
916/916 [==============================] - 0s 62us/sample - loss: 0.2542 - acc: 0.9116 - val_loss: 0.4260 - val_acc: 0.8601
Epoch 15/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2506 - acc: 0.9017 - val_loss: 0.3894 - val_acc: 0.8626
Epoch 16/500
916/916 [==============================] - 0s 66us/sample - loss: 0.2412 - acc: 0.9061 - val_loss: 0.4332 - val_acc: 0.8499
Epoch 17/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2377 - acc: 0.9061 - val_loss: 0.4575 - val_acc: 0.8448
Epoch 18/500
916/916 [==============================] - 0s 72us/sample - loss: 0.2321 - acc: 0.9138 - val_loss: 0.4667 - val_acc: 0.8499
Epoch 19/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2296 - acc: 0.9116 - val_loss: 0.4489 - val_acc: 0.8473
Epoch 20/500
916/916 [==============================] - 0s 62us/sample - loss: 0.2292 - acc: 0.9083 - val_loss: 0.4783 - val_acc: 0.8550
Epoch 21/500
916/916 [==============================] - 0s 64us/sample - loss: 0.2231 - acc: 0.9105 - val_loss: 0.4535 - val_acc: 0.8397
Epoch 22/500
916/916 [==============================] - 0s 72us/sample - loss: 0.2314 - acc: 0.9105 - val_loss: 0.4535 - val_acc: 0.8550
Epoch 23/500
916/916 [==============================] - 0s 70us/sample - loss: 0.2167 - acc: 0.9148 - val_loss: 0.4906 - val_acc: 0.8601
Epoch 24/500
916/916 [==============================] - 0s 70us/sample - loss: 0.2165 - acc: 0.9148 - val_loss: 0.5205 - val_acc: 0.8575
Epoch 25/500
916/916 [==============================] - 0s 72us/sample - loss: 0.2165 - acc: 0.9148 - val_loss: 0.4611 - val_acc: 0.8524
Epoch 26/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2099 - acc: 0.9192 - val_loss: 0.5398 - val_acc: 0.8499
Epoch 27/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2120 - acc: 0.9170 - val_loss: 0.5406 - val_acc: 0.8524
Epoch 28/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2085 - acc: 0.9148 - val_loss: 0.5516 - val_acc: 0.8550
Epoch 29/500
916/916 [==============================] - 0s 65us/sample - loss: 0.2035 - acc: 0.9170 - val_loss: 0.5634 - val_acc: 0.8550
Epoch 30/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2006 - acc: 0.9181 - val_loss: 0.5571 - val_acc: 0.8601
Epoch 31/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2040 - acc: 0.9159 - val_loss: 0.5320 - val_acc: 0.8524
Epoch 32/500
916/916 [==============================] - 0s 65us/sample - loss: 0.2034 - acc: 0.9170 - val_loss: 0.5614 - val_acc: 0.8575
Epoch 33/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2030 - acc: 0.9203 - val_loss: 0.5702 - val_acc: 0.8575
Epoch 34/500
916/916 [==============================] - 0s 68us/sample - loss: 0.2031 - acc: 0.9116 - val_loss: 0.5850 - val_acc: 0.8575
Epoch 35/500
916/916 [==============================] - 0s 74us/sample - loss: 0.2048 - acc: 0.9203 - val_loss: 0.5634 - val_acc: 0.8473
Epoch 36/500
916/916 [==============================] - 0s 74us/sample - loss: 0.1953 - acc: 0.9203 - val_loss: 0.6360 - val_acc: 0.8499
Epoch 37/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1984 - acc: 0.9138 - val_loss: 0.6103 - val_acc: 0.8524
Epoch 38/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1948 - acc: 0.9181 - val_loss: 0.6227 - val_acc: 0.8550
Epoch 39/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1923 - acc: 0.9203 - val_loss: 0.6578 - val_acc: 0.8499
Epoch 40/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1938 - acc: 0.9236 - val_loss: 0.6597 - val_acc: 0.8524
Epoch 41/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1905 - acc: 0.9203 - val_loss: 0.6705 - val_acc: 0.8499
Epoch 42/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1925 - acc: 0.9170 - val_loss: 0.6753 - val_acc: 0.8499
Epoch 43/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1909 - acc: 0.9203 - val_loss: 0.7018 - val_acc: 0.8524
Epoch 44/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1974 - acc: 0.9159 - val_loss: 0.6476 - val_acc: 0.8524
Epoch 45/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1905 - acc: 0.9225 - val_loss: 0.7397 - val_acc: 0.8448
Epoch 46/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1911 - acc: 0.9148 - val_loss: 0.7274 - val_acc: 0.8448
Epoch 47/500
916/916 [==============================] - 0s 72us/sample - loss: 0.1881 - acc: 0.9170 - val_loss: 0.7389 - val_acc: 0.8499
Epoch 48/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1925 - acc: 0.9203 - val_loss: 0.6945 - val_acc: 0.8499
Epoch 49/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1905 - acc: 0.9203 - val_loss: 0.7610 - val_acc: 0.8473
Epoch 50/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1882 - acc: 0.9203 - val_loss: 0.7720 - val_acc: 0.8473
Epoch 51/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1874 - acc: 0.9170 - val_loss: 0.7977 - val_acc: 0.8473
Epoch 52/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1905 - acc: 0.9181 - val_loss: 0.7236 - val_acc: 0.8422
Epoch 53/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1905 - acc: 0.9170 - val_loss: 0.7418 - val_acc: 0.8473
Epoch 54/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1883 - acc: 0.9192 - val_loss: 0.7669 - val_acc: 0.8422
Epoch 55/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1859 - acc: 0.9181 - val_loss: 0.7823 - val_acc: 0.8473
Epoch 56/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1847 - acc: 0.9192 - val_loss: 0.8230 - val_acc: 0.8448
Epoch 57/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1853 - acc: 0.9225 - val_loss: 0.8005 - val_acc: 0.8473
Epoch 58/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1870 - acc: 0.9192 - val_loss: 0.8011 - val_acc: 0.8448
Epoch 59/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1862 - acc: 0.9192 - val_loss: 0.8166 - val_acc: 0.8448
Epoch 60/500
916/916 [==============================] - 0s 71us/sample - loss: 0.1858 - acc: 0.9203 - val_loss: 0.8178 - val_acc: 0.8524
Epoch 61/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1846 - acc: 0.9203 - val_loss: 0.8994 - val_acc: 0.8422
Epoch 62/500
916/916 [==============================] - 0s 79us/sample - loss: 0.1838 - acc: 0.9214 - val_loss: 0.8333 - val_acc: 0.8499
Epoch 63/500
916/916 [==============================] - 0s 81us/sample - loss: 0.1849 - acc: 0.9181 - val_loss: 0.8580 - val_acc: 0.8473
Epoch 64/500
916/916 [==============================] - 0s 69us/sample - loss: 0.1855 - acc: 0.9170 - val_loss: 0.9176 - val_acc: 0.8448
Epoch 65/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1837 - acc: 0.9225 - val_loss: 0.8286 - val_acc: 0.8499
Epoch 66/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1850 - acc: 0.9192 - val_loss: 0.9298 - val_acc: 0.8448
Epoch 67/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1842 - acc: 0.9225 - val_loss: 0.8229 - val_acc: 0.8422
Epoch 68/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1839 - acc: 0.9225 - val_loss: 0.9907 - val_acc: 0.8397
Epoch 69/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1878 - acc: 0.9214 - val_loss: 0.9295 - val_acc: 0.8473
Epoch 70/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1921 - acc: 0.9203 - val_loss: 0.8945 - val_acc: 0.8499
Epoch 71/500
916/916 [==============================] - 0s 59us/sample - loss: 0.2111 - acc: 0.9170 - val_loss: 0.7426 - val_acc: 0.8397
Epoch 72/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1926 - acc: 0.9181 - val_loss: 0.8224 - val_acc: 0.8601
Epoch 73/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1932 - acc: 0.9192 - val_loss: 0.8506 - val_acc: 0.8473
Epoch 74/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1853 - acc: 0.9203 - val_loss: 0.9098 - val_acc: 0.8448
Epoch 75/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1863 - acc: 0.9181 - val_loss: 0.9283 - val_acc: 0.8473
Epoch 76/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1816 - acc: 0.9192 - val_loss: 0.9440 - val_acc: 0.8499
Epoch 77/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1831 - acc: 0.9225 - val_loss: 0.9670 - val_acc: 0.8575
Epoch 78/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1834 - acc: 0.9203 - val_loss: 0.9560 - val_acc: 0.8499
Epoch 79/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1830 - acc: 0.9192 - val_loss: 0.9634 - val_acc: 0.8422
Epoch 80/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1814 - acc: 0.9214 - val_loss: 0.9999 - val_acc: 0.8499
Epoch 81/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1793 - acc: 0.9225 - val_loss: 0.9654 - val_acc: 0.8397
Epoch 82/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1818 - acc: 0.9148 - val_loss: 0.9721 - val_acc: 0.8448
Epoch 83/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1792 - acc: 0.9225 - val_loss: 1.0093 - val_acc: 0.8473
Epoch 84/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1799 - acc: 0.9214 - val_loss: 0.9973 - val_acc: 0.8473
Epoch 85/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1796 - acc: 0.9214 - val_loss: 1.0079 - val_acc: 0.8448
Epoch 86/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1788 - acc: 0.9203 - val_loss: 1.0678 - val_acc: 0.8473
Epoch 87/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1802 - acc: 0.9170 - val_loss: 1.0129 - val_acc: 0.8448
Epoch 88/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1790 - acc: 0.9214 - val_loss: 1.0234 - val_acc: 0.8473
Epoch 89/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1786 - acc: 0.9214 - val_loss: 1.0800 - val_acc: 0.8448
Epoch 90/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1830 - acc: 0.9159 - val_loss: 1.0400 - val_acc: 0.8448
Epoch 91/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1790 - acc: 0.9225 - val_loss: 1.0374 - val_acc: 0.8473
Epoch 92/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1818 - acc: 0.9225 - val_loss: 1.0380 - val_acc: 0.8499
Epoch 93/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1826 - acc: 0.9214 - val_loss: 1.0500 - val_acc: 0.8473
Epoch 94/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1796 - acc: 0.9214 - val_loss: 1.0500 - val_acc: 0.8448
Epoch 95/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1802 - acc: 0.9247 - val_loss: 1.0617 - val_acc: 0.8473
Epoch 96/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1800 - acc: 0.9269 - val_loss: 1.0342 - val_acc: 0.8473
Epoch 97/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1819 - acc: 0.9159 - val_loss: 1.0605 - val_acc: 0.8448
Epoch 98/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1783 - acc: 0.9181 - val_loss: 1.1040 - val_acc: 0.8499
Epoch 99/500
916/916 [==============================] - 0s 69us/sample - loss: 0.1783 - acc: 0.9203 - val_loss: 1.0879 - val_acc: 0.8473
Epoch 100/500
916/916 [==============================] - 0s 92us/sample - loss: 0.1794 - acc: 0.9214 - val_loss: 1.0399 - val_acc: 0.8499
Epoch 101/500
916/916 [==============================] - 0s 98us/sample - loss: 0.1793 - acc: 0.9236 - val_loss: 1.1032 - val_acc: 0.8448
Epoch 102/500
916/916 [==============================] - 0s 79us/sample - loss: 0.1797 - acc: 0.9225 - val_loss: 1.0484 - val_acc: 0.8422
Epoch 103/500
916/916 [==============================] - 0s 75us/sample - loss: 0.1795 - acc: 0.9192 - val_loss: 1.0792 - val_acc: 0.8473
Epoch 104/500
916/916 [==============================] - 0s 78us/sample - loss: 0.1798 - acc: 0.9247 - val_loss: 1.1376 - val_acc: 0.8473
Epoch 105/500
916/916 [==============================] - 0s 79us/sample - loss: 0.1788 - acc: 0.9170 - val_loss: 1.1153 - val_acc: 0.8473
Epoch 106/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1784 - acc: 0.9203 - val_loss: 1.1619 - val_acc: 0.8473
Epoch 107/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1790 - acc: 0.9181 - val_loss: 1.1312 - val_acc: 0.8473
Epoch 108/500
916/916 [==============================] - ETA: 0s - loss: 0.0735 - acc: 1.000 - 0s 61us/sample - loss: 0.1800 - acc: 0.9236 - val_loss: 1.1222 - val_acc: 0.8499
Epoch 109/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1792 - acc: 0.9236 - val_loss: 1.1277 - val_acc: 0.8448
Epoch 110/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1786 - acc: 0.9148 - val_loss: 1.1511 - val_acc: 0.8422
Epoch 111/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1782 - acc: 0.9214 - val_loss: 1.1407 - val_acc: 0.8473
Epoch 112/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1815 - acc: 0.9203 - val_loss: 1.1392 - val_acc: 0.8422
Epoch 113/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1841 - acc: 0.9269 - val_loss: 1.0748 - val_acc: 0.8499
Epoch 114/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1801 - acc: 0.9214 - val_loss: 1.0972 - val_acc: 0.8448
Epoch 115/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1809 - acc: 0.9225 - val_loss: 1.0711 - val_acc: 0.8448
Epoch 116/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1788 - acc: 0.9225 - val_loss: 1.1497 - val_acc: 0.8473
Epoch 117/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1782 - acc: 0.9225 - val_loss: 1.2075 - val_acc: 0.8422
Epoch 118/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1794 - acc: 0.9203 - val_loss: 1.1924 - val_acc: 0.8448
Epoch 119/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1788 - acc: 0.9192 - val_loss: 1.1529 - val_acc: 0.8422
Epoch 120/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1791 - acc: 0.9214 - val_loss: 1.1898 - val_acc: 0.8499
Epoch 121/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1773 - acc: 0.9203 - val_loss: 1.1975 - val_acc: 0.8422
Epoch 122/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1793 - acc: 0.9214 - val_loss: 1.2165 - val_acc: 0.8499
Epoch 123/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1784 - acc: 0.9214 - val_loss: 1.1711 - val_acc: 0.8448
Epoch 124/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1774 - acc: 0.9181 - val_loss: 1.1901 - val_acc: 0.8422
Epoch 125/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1771 - acc: 0.9203 - val_loss: 1.2177 - val_acc: 0.8422
Epoch 126/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1774 - acc: 0.9225 - val_loss: 1.1961 - val_acc: 0.8422
Epoch 127/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1769 - acc: 0.9214 - val_loss: 1.2117 - val_acc: 0.8448
Epoch 128/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1774 - acc: 0.9236 - val_loss: 1.1994 - val_acc: 0.8448
Epoch 129/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1778 - acc: 0.9181 - val_loss: 1.2142 - val_acc: 0.8473
Epoch 130/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1788 - acc: 0.9214 - val_loss: 1.1838 - val_acc: 0.8422
Epoch 131/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1793 - acc: 0.9236 - val_loss: 1.1592 - val_acc: 0.8473
Epoch 132/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.1975 - val_acc: 0.8448
Epoch 133/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1802 - acc: 0.9214 - val_loss: 1.2048 - val_acc: 0.8448
Epoch 134/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1803 - acc: 0.9214 - val_loss: 1.2311 - val_acc: 0.8422
Epoch 135/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1773 - acc: 0.9236 - val_loss: 1.2238 - val_acc: 0.8422
Epoch 136/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1773 - acc: 0.9247 - val_loss: 1.2279 - val_acc: 0.8448
Epoch 137/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1780 - acc: 0.9203 - val_loss: 1.2356 - val_acc: 0.8448
Epoch 138/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1789 - acc: 0.9247 - val_loss: 1.2141 - val_acc: 0.8422
Epoch 139/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1779 - acc: 0.9247 - val_loss: 1.2344 - val_acc: 0.8473
Epoch 140/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1769 - acc: 0.9192 - val_loss: 1.2327 - val_acc: 0.8448
Epoch 141/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1781 - acc: 0.9203 - val_loss: 1.2281 - val_acc: 0.8422
Epoch 142/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1800 - acc: 0.9225 - val_loss: 1.2035 - val_acc: 0.8473
Epoch 143/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1799 - acc: 0.9192 - val_loss: 1.2349 - val_acc: 0.8448
Epoch 144/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1815 - acc: 0.9236 - val_loss: 1.2808 - val_acc: 0.8473
Epoch 145/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1813 - acc: 0.9192 - val_loss: 1.1743 - val_acc: 0.8448
Epoch 146/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1782 - acc: 0.9225 - val_loss: 1.2433 - val_acc: 0.8448
Epoch 147/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1783 - acc: 0.9203 - val_loss: 1.2728 - val_acc: 0.8473
Epoch 148/500
916/916 [==============================] - 0s 79us/sample - loss: 0.1803 - acc: 0.9192 - val_loss: 1.2528 - val_acc: 0.8422
Epoch 149/500
916/916 [==============================] - 0s 79us/sample - loss: 0.1768 - acc: 0.9203 - val_loss: 1.2662 - val_acc: 0.8473
Epoch 150/500
916/916 [==============================] - 0s 71us/sample - loss: 0.1797 - acc: 0.9214 - val_loss: 1.3102 - val_acc: 0.8422
Epoch 151/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1804 - acc: 0.9214 - val_loss: 1.2898 - val_acc: 0.8499
Epoch 152/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1808 - acc: 0.9203 - val_loss: 1.2239 - val_acc: 0.8422
Epoch 153/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1864 - acc: 0.9214 - val_loss: 1.3434 - val_acc: 0.8448
Epoch 154/500
916/916 [==============================] - 0s 89us/sample - loss: 0.2482 - acc: 0.9116 - val_loss: 0.9935 - val_acc: 0.8346
Epoch 155/500
916/916 [==============================] - 0s 74us/sample - loss: 0.2868 - acc: 0.8908 - val_loss: 0.5153 - val_acc: 0.8473
Epoch 156/500
916/916 [==============================] - 0s 66us/sample - loss: 0.2473 - acc: 0.9072 - val_loss: 0.6170 - val_acc: 0.8397
Epoch 157/500
916/916 [==============================] - 0s 71us/sample - loss: 0.2268 - acc: 0.9083 - val_loss: 0.5353 - val_acc: 0.8397
Epoch 158/500
916/916 [==============================] - 0s 64us/sample - loss: 0.2072 - acc: 0.9225 - val_loss: 0.8992 - val_acc: 0.8499
Epoch 159/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1965 - acc: 0.9203 - val_loss: 0.8392 - val_acc: 0.8473
Epoch 160/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1917 - acc: 0.9159 - val_loss: 0.9701 - val_acc: 0.8422
Epoch 161/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1866 - acc: 0.9236 - val_loss: 1.0626 - val_acc: 0.8499
Epoch 162/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1846 - acc: 0.9192 - val_loss: 1.1126 - val_acc: 0.8422
Epoch 163/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1855 - acc: 0.9214 - val_loss: 1.1208 - val_acc: 0.8473
Epoch 164/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1851 - acc: 0.9214 - val_loss: 1.1352 - val_acc: 0.8448
Epoch 165/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1820 - acc: 0.9225 - val_loss: 1.1759 - val_acc: 0.8473
Epoch 166/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1782 - acc: 0.9247 - val_loss: 1.2498 - val_acc: 0.8473
Epoch 167/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1800 - acc: 0.9203 - val_loss: 1.2033 - val_acc: 0.8473
Epoch 168/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1798 - acc: 0.9192 - val_loss: 1.2123 - val_acc: 0.8422
Epoch 169/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1794 - acc: 0.9203 - val_loss: 1.2657 - val_acc: 0.8422
Epoch 170/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1777 - acc: 0.9192 - val_loss: 1.2999 - val_acc: 0.8422
Epoch 171/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1787 - acc: 0.9203 - val_loss: 1.2736 - val_acc: 0.8422
Epoch 172/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1807 - acc: 0.9214 - val_loss: 1.2819 - val_acc: 0.8448
Epoch 173/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1788 - acc: 0.9225 - val_loss: 1.2926 - val_acc: 0.8473
Epoch 174/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1779 - acc: 0.9236 - val_loss: 1.3076 - val_acc: 0.8422
Epoch 175/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1774 - acc: 0.9214 - val_loss: 1.3223 - val_acc: 0.8397
Epoch 176/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1786 - acc: 0.9214 - val_loss: 1.3125 - val_acc: 0.8397
Epoch 177/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1793 - acc: 0.9225 - val_loss: 1.3007 - val_acc: 0.8422
Epoch 178/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1775 - acc: 0.9214 - val_loss: 1.3146 - val_acc: 0.8422
Epoch 179/500
916/916 [==============================] - 0s 69us/sample - loss: 0.1766 - acc: 0.9225 - val_loss: 1.3088 - val_acc: 0.8422
Epoch 180/500
916/916 [==============================] - 0s 98us/sample - loss: 0.1776 - acc: 0.9203 - val_loss: 1.3268 - val_acc: 0.8448
Epoch 181/500
916/916 [==============================] - 0s 82us/sample - loss: 0.1787 - acc: 0.9203 - val_loss: 1.3629 - val_acc: 0.8422
Epoch 182/500
916/916 [==============================] - 0s 72us/sample - loss: 0.1782 - acc: 0.9192 - val_loss: 1.3544 - val_acc: 0.8397
Epoch 183/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1774 - acc: 0.9181 - val_loss: 1.3679 - val_acc: 0.8422
Epoch 184/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1775 - acc: 0.9203 - val_loss: 1.3758 - val_acc: 0.8422
Epoch 185/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1771 - acc: 0.9203 - val_loss: 1.3916 - val_acc: 0.8422
Epoch 186/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1797 - acc: 0.9192 - val_loss: 1.3725 - val_acc: 0.8422
Epoch 187/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1780 - acc: 0.9214 - val_loss: 1.2688 - val_acc: 0.8448
Epoch 188/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1775 - acc: 0.9214 - val_loss: 1.3487 - val_acc: 0.8473
Epoch 189/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1772 - acc: 0.9192 - val_loss: 1.3611 - val_acc: 0.8499
Epoch 190/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1765 - acc: 0.9214 - val_loss: 1.3641 - val_acc: 0.8473
Epoch 191/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1770 - acc: 0.9192 - val_loss: 1.3717 - val_acc: 0.8448
Epoch 192/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1774 - acc: 0.9225 - val_loss: 1.3837 - val_acc: 0.8422
Epoch 193/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.3687 - val_acc: 0.8448
Epoch 194/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1770 - acc: 0.9236 - val_loss: 1.3992 - val_acc: 0.8397
Epoch 195/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1777 - acc: 0.9181 - val_loss: 1.4101 - val_acc: 0.8422
Epoch 196/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1771 - acc: 0.9192 - val_loss: 1.4119 - val_acc: 0.8422
Epoch 197/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1790 - acc: 0.9225 - val_loss: 1.3896 - val_acc: 0.8422
Epoch 198/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1768 - acc: 0.9192 - val_loss: 1.4252 - val_acc: 0.8422
Epoch 199/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1765 - acc: 0.9181 - val_loss: 1.4255 - val_acc: 0.8422
Epoch 200/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1759 - acc: 0.9170 - val_loss: 1.4128 - val_acc: 0.8422
Epoch 201/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1769 - acc: 0.9236 - val_loss: 1.4493 - val_acc: 0.8397
Epoch 202/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1768 - acc: 0.9236 - val_loss: 1.4341 - val_acc: 0.8397
Epoch 203/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1765 - acc: 0.9159 - val_loss: 1.4191 - val_acc: 0.8448
Epoch 204/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1763 - acc: 0.9181 - val_loss: 1.4301 - val_acc: 0.8397
Epoch 205/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1783 - acc: 0.9214 - val_loss: 1.4297 - val_acc: 0.8524
Epoch 206/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1766 - acc: 0.9192 - val_loss: 1.4411 - val_acc: 0.8397
Epoch 207/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.4424 - val_acc: 0.8397
Epoch 208/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1767 - acc: 0.9170 - val_loss: 1.4302 - val_acc: 0.8397
Epoch 209/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1771 - acc: 0.9258 - val_loss: 1.4304 - val_acc: 0.8448
Epoch 210/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1782 - acc: 0.9214 - val_loss: 1.4208 - val_acc: 0.8473
Epoch 211/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1777 - acc: 0.9192 - val_loss: 1.4181 - val_acc: 0.8422
Epoch 212/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1764 - acc: 0.9181 - val_loss: 1.4037 - val_acc: 0.8422
Epoch 213/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1767 - acc: 0.9203 - val_loss: 1.4400 - val_acc: 0.8473
Epoch 214/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1765 - acc: 0.9203 - val_loss: 1.4632 - val_acc: 0.8372
Epoch 215/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1760 - acc: 0.9170 - val_loss: 1.4286 - val_acc: 0.8448
Epoch 216/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1769 - acc: 0.9203 - val_loss: 1.4498 - val_acc: 0.8397
Epoch 217/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1766 - acc: 0.9192 - val_loss: 1.4697 - val_acc: 0.8422
Epoch 218/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1774 - acc: 0.9203 - val_loss: 1.4578 - val_acc: 0.8499
Epoch 219/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1773 - acc: 0.9214 - val_loss: 1.4470 - val_acc: 0.8499
Epoch 220/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1763 - acc: 0.9203 - val_loss: 1.4533 - val_acc: 0.8448
Epoch 221/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1768 - acc: 0.9203 - val_loss: 1.4709 - val_acc: 0.8397
Epoch 222/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1775 - acc: 0.9203 - val_loss: 1.3780 - val_acc: 0.8473
Epoch 223/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1776 - acc: 0.9225 - val_loss: 1.4366 - val_acc: 0.8422
Epoch 224/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1775 - acc: 0.9225 - val_loss: 1.4492 - val_acc: 0.8473
Epoch 225/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1803 - acc: 0.9181 - val_loss: 1.4058 - val_acc: 0.8422
Epoch 226/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1788 - acc: 0.9225 - val_loss: 1.4173 - val_acc: 0.8499
Epoch 227/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1770 - acc: 0.9192 - val_loss: 1.4387 - val_acc: 0.8397
Epoch 228/500
916/916 [==============================] - 0s 72us/sample - loss: 0.1771 - acc: 0.9247 - val_loss: 1.4644 - val_acc: 0.8422
Epoch 229/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1770 - acc: 0.9214 - val_loss: 1.4574 - val_acc: 0.8397
Epoch 230/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1761 - acc: 0.9203 - val_loss: 1.4742 - val_acc: 0.8397
Epoch 231/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1770 - acc: 0.9225 - val_loss: 1.4774 - val_acc: 0.8372
Epoch 232/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1769 - acc: 0.9247 - val_loss: 1.4866 - val_acc: 0.8422
Epoch 233/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.4879 - val_acc: 0.8397
Epoch 234/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1764 - acc: 0.9214 - val_loss: 1.4510 - val_acc: 0.8422
Epoch 235/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1764 - acc: 0.9214 - val_loss: 1.4461 - val_acc: 0.8422
Epoch 236/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1767 - acc: 0.9203 - val_loss: 1.4651 - val_acc: 0.8448
Epoch 237/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1771 - acc: 0.9181 - val_loss: 1.4932 - val_acc: 0.8473
Epoch 238/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1764 - acc: 0.9214 - val_loss: 1.4591 - val_acc: 0.8372
Epoch 239/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1757 - acc: 0.9247 - val_loss: 1.4982 - val_acc: 0.8448
Epoch 240/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1771 - acc: 0.9225 - val_loss: 1.4977 - val_acc: 0.8448
Epoch 241/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1768 - acc: 0.9192 - val_loss: 1.4648 - val_acc: 0.8397
Epoch 242/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1771 - acc: 0.9159 - val_loss: 1.4568 - val_acc: 0.8397
Epoch 243/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1760 - acc: 0.9214 - val_loss: 1.4650 - val_acc: 0.8372
Epoch 244/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1769 - acc: 0.9214 - val_loss: 1.4914 - val_acc: 0.8422
Epoch 245/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1762 - acc: 0.9214 - val_loss: 1.4995 - val_acc: 0.8372
Epoch 246/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1772 - acc: 0.9236 - val_loss: 1.5105 - val_acc: 0.8397
Epoch 247/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1769 - acc: 0.9181 - val_loss: 1.5046 - val_acc: 0.8372
Epoch 248/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1771 - acc: 0.9170 - val_loss: 1.5144 - val_acc: 0.8397
Epoch 249/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.5001 - val_acc: 0.8372
Epoch 250/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1759 - acc: 0.9181 - val_loss: 1.4953 - val_acc: 0.8397
Epoch 251/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1771 - acc: 0.9225 - val_loss: 1.5268 - val_acc: 0.8346
Epoch 252/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1777 - acc: 0.9214 - val_loss: 1.4643 - val_acc: 0.8422
Epoch 253/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1775 - acc: 0.9236 - val_loss: 1.4717 - val_acc: 0.8397
Epoch 254/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1766 - acc: 0.9181 - val_loss: 1.5461 - val_acc: 0.8397
Epoch 255/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1772 - acc: 0.9214 - val_loss: 1.4220 - val_acc: 0.8473
Epoch 256/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1784 - acc: 0.9214 - val_loss: 1.4244 - val_acc: 0.8473
Epoch 257/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1821 - acc: 0.9214 - val_loss: 1.2176 - val_acc: 0.8295
Epoch 258/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1875 - acc: 0.9181 - val_loss: 1.3607 - val_acc: 0.8422
Epoch 259/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1810 - acc: 0.9203 - val_loss: 1.4538 - val_acc: 0.8321
Epoch 260/500
916/916 [==============================] - 0s 60us/sample - loss: 0.2099 - acc: 0.9170 - val_loss: 1.2512 - val_acc: 0.8448
Epoch 261/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1960 - acc: 0.9159 - val_loss: 1.1005 - val_acc: 0.8499
Epoch 262/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1944 - acc: 0.9192 - val_loss: 1.2581 - val_acc: 0.8295
Epoch 263/500
916/916 [==============================] - 0s 60us/sample - loss: 0.2192 - acc: 0.9105 - val_loss: 1.1369 - val_acc: 0.8422
Epoch 264/500
916/916 [==============================] - 0s 63us/sample - loss: 0.2508 - acc: 0.9050 - val_loss: 0.7071 - val_acc: 0.8448
Epoch 265/500
916/916 [==============================] - 0s 61us/sample - loss: 0.2086 - acc: 0.9181 - val_loss: 0.8403 - val_acc: 0.8422
Epoch 266/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1945 - acc: 0.9203 - val_loss: 1.1940 - val_acc: 0.8448
Epoch 267/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1908 - acc: 0.9258 - val_loss: 1.0851 - val_acc: 0.8346
Epoch 268/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1827 - acc: 0.9225 - val_loss: 1.1971 - val_acc: 0.8448
Epoch 269/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1796 - acc: 0.9225 - val_loss: 1.2798 - val_acc: 0.8448
Epoch 270/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1774 - acc: 0.9214 - val_loss: 1.2839 - val_acc: 0.8448
Epoch 271/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1780 - acc: 0.9225 - val_loss: 1.3463 - val_acc: 0.8448
Epoch 272/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1776 - acc: 0.9214 - val_loss: 1.3662 - val_acc: 0.8448
Epoch 273/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1768 - acc: 0.9225 - val_loss: 1.3849 - val_acc: 0.8473
Epoch 274/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1765 - acc: 0.9225 - val_loss: 1.3974 - val_acc: 0.8473
Epoch 275/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1764 - acc: 0.9225 - val_loss: 1.4134 - val_acc: 0.8473
Epoch 276/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1776 - acc: 0.9225 - val_loss: 1.3785 - val_acc: 0.8473
Epoch 277/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.4143 - val_acc: 0.8448
Epoch 278/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 1.4382 - val_acc: 0.8473
Epoch 279/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 1.4371 - val_acc: 0.8499
Epoch 280/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1769 - acc: 0.9225 - val_loss: 1.4487 - val_acc: 0.8448
Epoch 281/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.4327 - val_acc: 0.8473
Epoch 282/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1774 - acc: 0.9225 - val_loss: 1.4436 - val_acc: 0.8448
Epoch 283/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1772 - acc: 0.9203 - val_loss: 1.4728 - val_acc: 0.8448
Epoch 284/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1766 - acc: 0.9203 - val_loss: 1.4579 - val_acc: 0.8448
Epoch 285/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1779 - acc: 0.9203 - val_loss: 1.4516 - val_acc: 0.8473
Epoch 286/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1761 - acc: 0.9225 - val_loss: 1.4758 - val_acc: 0.8448
Epoch 287/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1758 - acc: 0.9225 - val_loss: 1.4779 - val_acc: 0.8448
Epoch 288/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1763 - acc: 0.9214 - val_loss: 1.4982 - val_acc: 0.8448
Epoch 289/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1774 - acc: 0.9192 - val_loss: 1.4875 - val_acc: 0.8448
Epoch 290/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1763 - acc: 0.9236 - val_loss: 1.5012 - val_acc: 0.8422
Epoch 291/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1760 - acc: 0.9203 - val_loss: 1.4921 - val_acc: 0.8473
Epoch 292/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1749 - acc: 0.9192 - val_loss: 1.4770 - val_acc: 0.8448
Epoch 293/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1763 - acc: 0.9170 - val_loss: 1.4845 - val_acc: 0.8473
Epoch 294/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1769 - acc: 0.9236 - val_loss: 1.4962 - val_acc: 0.8448
Epoch 295/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1756 - acc: 0.9236 - val_loss: 1.4867 - val_acc: 0.8448
Epoch 296/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1769 - acc: 0.9170 - val_loss: 1.4942 - val_acc: 0.8448
Epoch 297/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1762 - acc: 0.9214 - val_loss: 1.5301 - val_acc: 0.8448
Epoch 298/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1765 - acc: 0.9214 - val_loss: 1.5150 - val_acc: 0.8473
Epoch 299/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 1.5052 - val_acc: 0.8499
Epoch 300/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1754 - acc: 0.9236 - val_loss: 1.5169 - val_acc: 0.8473
Epoch 301/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1753 - acc: 0.9192 - val_loss: 1.5294 - val_acc: 0.8499
Epoch 302/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1756 - acc: 0.9236 - val_loss: 1.5208 - val_acc: 0.8499
Epoch 303/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 1.5062 - val_acc: 0.8448
Epoch 304/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1756 - acc: 0.9236 - val_loss: 1.5205 - val_acc: 0.8524
Epoch 305/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1754 - acc: 0.9192 - val_loss: 1.5383 - val_acc: 0.8473
Epoch 306/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 1.5172 - val_acc: 0.8473
Epoch 307/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1754 - acc: 0.9236 - val_loss: 1.5226 - val_acc: 0.8473
Epoch 308/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1764 - acc: 0.9214 - val_loss: 1.5300 - val_acc: 0.8499
Epoch 309/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.5393 - val_acc: 0.8473
Epoch 310/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1771 - acc: 0.9214 - val_loss: 1.5173 - val_acc: 0.8448
Epoch 311/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1768 - acc: 0.9170 - val_loss: 1.5137 - val_acc: 0.8473
Epoch 312/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.5349 - val_acc: 0.8499
Epoch 313/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1762 - acc: 0.9170 - val_loss: 1.5399 - val_acc: 0.8473
Epoch 314/500
916/916 [==============================] - 0s 78us/sample - loss: 0.1762 - acc: 0.9192 - val_loss: 1.5227 - val_acc: 0.8473
Epoch 315/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 1.5327 - val_acc: 0.8473
Epoch 316/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1753 - acc: 0.9192 - val_loss: 1.5318 - val_acc: 0.8473
Epoch 317/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1773 - acc: 0.9225 - val_loss: 1.5377 - val_acc: 0.8473
Epoch 318/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1762 - acc: 0.9203 - val_loss: 1.5609 - val_acc: 0.8499
Epoch 319/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1764 - acc: 0.9170 - val_loss: 1.5582 - val_acc: 0.8499
Epoch 320/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 1.5487 - val_acc: 0.8473
Epoch 321/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1774 - acc: 0.9192 - val_loss: 1.5438 - val_acc: 0.8473
Epoch 322/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 1.5635 - val_acc: 0.8473
Epoch 323/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1752 - acc: 0.9203 - val_loss: 1.5677 - val_acc: 0.8499
Epoch 324/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1755 - acc: 0.9247 - val_loss: 1.5750 - val_acc: 0.8473
Epoch 325/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.5338 - val_acc: 0.8499
Epoch 326/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.5463 - val_acc: 0.8473
Epoch 327/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.5657 - val_acc: 0.8473
Epoch 328/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1759 - acc: 0.9192 - val_loss: 1.5681 - val_acc: 0.8473
Epoch 329/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1760 - acc: 0.9181 - val_loss: 1.5357 - val_acc: 0.8473
Epoch 330/500
916/916 [==============================] - 0s 56us/sample - loss: 0.1759 - acc: 0.9170 - val_loss: 1.5573 - val_acc: 0.8448
Epoch 331/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1750 - acc: 0.9170 - val_loss: 1.5769 - val_acc: 0.8473
Epoch 332/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1762 - acc: 0.9170 - val_loss: 1.5825 - val_acc: 0.8499
Epoch 333/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1755 - acc: 0.9203 - val_loss: 1.5527 - val_acc: 0.8473
Epoch 334/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 1.5513 - val_acc: 0.8499
Epoch 335/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1757 - acc: 0.9236 - val_loss: 1.5743 - val_acc: 0.8473
Epoch 336/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1754 - acc: 0.9225 - val_loss: 1.5822 - val_acc: 0.8499
Epoch 337/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1756 - acc: 0.9181 - val_loss: 1.5819 - val_acc: 0.8499
Epoch 338/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 1.5691 - val_acc: 0.8448
Epoch 339/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.5756 - val_acc: 0.8473
Epoch 340/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.5837 - val_acc: 0.8499
Epoch 341/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1759 - acc: 0.9236 - val_loss: 1.5905 - val_acc: 0.8473
Epoch 342/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1767 - acc: 0.9214 - val_loss: 1.5831 - val_acc: 0.8473
Epoch 343/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1766 - acc: 0.9247 - val_loss: 1.6270 - val_acc: 0.8499
Epoch 344/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1764 - acc: 0.9170 - val_loss: 1.5843 - val_acc: 0.8473
Epoch 345/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1766 - acc: 0.9247 - val_loss: 1.5469 - val_acc: 0.8448
Epoch 346/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1758 - acc: 0.9192 - val_loss: 1.5584 - val_acc: 0.8473
Epoch 347/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1772 - acc: 0.9225 - val_loss: 1.5790 - val_acc: 0.8473
Epoch 348/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.5540 - val_acc: 0.8473
Epoch 349/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1757 - acc: 0.9181 - val_loss: 1.5373 - val_acc: 0.8473
Epoch 350/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1751 - acc: 0.9236 - val_loss: 1.5599 - val_acc: 0.8473
Epoch 351/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1756 - acc: 0.9225 - val_loss: 1.5877 - val_acc: 0.8448
Epoch 352/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1764 - acc: 0.9203 - val_loss: 1.5739 - val_acc: 0.8422
Epoch 353/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1767 - acc: 0.9236 - val_loss: 1.5483 - val_acc: 0.8372
Epoch 354/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 1.5750 - val_acc: 0.8397
Epoch 355/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.5983 - val_acc: 0.8422
Epoch 356/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1759 - acc: 0.9236 - val_loss: 1.5893 - val_acc: 0.8422
Epoch 357/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1756 - acc: 0.9170 - val_loss: 1.6191 - val_acc: 0.8422
Epoch 358/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1758 - acc: 0.9247 - val_loss: 1.5915 - val_acc: 0.8473
Epoch 359/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1756 - acc: 0.9181 - val_loss: 1.5914 - val_acc: 0.8473
Epoch 360/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1751 - acc: 0.9236 - val_loss: 1.6030 - val_acc: 0.8473
Epoch 361/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1757 - acc: 0.9181 - val_loss: 1.6202 - val_acc: 0.8422
Epoch 362/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1766 - acc: 0.9214 - val_loss: 1.5952 - val_acc: 0.8473
Epoch 363/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1753 - acc: 0.9214 - val_loss: 1.6140 - val_acc: 0.8499
Epoch 364/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1753 - acc: 0.9214 - val_loss: 1.6162 - val_acc: 0.8473
Epoch 365/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1757 - acc: 0.9203 - val_loss: 1.6176 - val_acc: 0.8422
Epoch 366/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 1.6302 - val_acc: 0.8448
Epoch 367/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1754 - acc: 0.9225 - val_loss: 1.6396 - val_acc: 0.8422
Epoch 368/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1754 - acc: 0.9203 - val_loss: 1.6495 - val_acc: 0.8397
Epoch 369/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1754 - acc: 0.9203 - val_loss: 1.5839 - val_acc: 0.8422
Epoch 370/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1762 - acc: 0.9192 - val_loss: 1.5826 - val_acc: 0.8473
Epoch 371/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 1.6003 - val_acc: 0.8448
Epoch 372/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1774 - acc: 0.9214 - val_loss: 1.6207 - val_acc: 0.8448
Epoch 373/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 1.5903 - val_acc: 0.8473
Epoch 374/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1761 - acc: 0.9203 - val_loss: 1.5993 - val_acc: 0.8473
Epoch 375/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1768 - acc: 0.9192 - val_loss: 1.6700 - val_acc: 0.8397
Epoch 376/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1751 - acc: 0.9214 - val_loss: 1.6541 - val_acc: 0.8397
Epoch 377/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1750 - acc: 0.9192 - val_loss: 1.6022 - val_acc: 0.8397
Epoch 378/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1762 - acc: 0.9203 - val_loss: 1.6182 - val_acc: 0.8397
Epoch 379/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1767 - acc: 0.9192 - val_loss: 1.5386 - val_acc: 0.8422
Epoch 380/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1766 - acc: 0.9192 - val_loss: 1.5574 - val_acc: 0.8397
Epoch 381/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1759 - acc: 0.9214 - val_loss: 1.5500 - val_acc: 0.8422
Epoch 382/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1786 - acc: 0.9192 - val_loss: 1.6089 - val_acc: 0.8448
Epoch 383/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1825 - acc: 0.9214 - val_loss: 1.4379 - val_acc: 0.8397
Epoch 384/500
916/916 [==============================] - 0s 65us/sample - loss: 0.2642 - acc: 0.9017 - val_loss: 0.6020 - val_acc: 0.8372
Epoch 385/500
916/916 [==============================] - 0s 62us/sample - loss: 0.2421 - acc: 0.9028 - val_loss: 0.7005 - val_acc: 0.8473
Epoch 386/500
916/916 [==============================] - 0s 57us/sample - loss: 0.2090 - acc: 0.9170 - val_loss: 0.9440 - val_acc: 0.8550
Epoch 387/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1973 - acc: 0.9181 - val_loss: 1.2010 - val_acc: 0.8422
Epoch 388/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1893 - acc: 0.9225 - val_loss: 1.2154 - val_acc: 0.8422
Epoch 389/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1842 - acc: 0.9214 - val_loss: 1.1834 - val_acc: 0.8397
Epoch 390/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1799 - acc: 0.9225 - val_loss: 1.2968 - val_acc: 0.8422
Epoch 391/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1795 - acc: 0.9214 - val_loss: 1.3872 - val_acc: 0.8448
Epoch 392/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1784 - acc: 0.9214 - val_loss: 1.3459 - val_acc: 0.8422
Epoch 393/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1775 - acc: 0.9203 - val_loss: 1.3914 - val_acc: 0.8448
Epoch 394/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1780 - acc: 0.9236 - val_loss: 1.4126 - val_acc: 0.8422
Epoch 395/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1769 - acc: 0.9225 - val_loss: 1.4539 - val_acc: 0.8397
Epoch 396/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1778 - acc: 0.9214 - val_loss: 1.4453 - val_acc: 0.8397
Epoch 397/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.4289 - val_acc: 0.8397
Epoch 398/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1765 - acc: 0.9203 - val_loss: 1.4386 - val_acc: 0.8397
Epoch 399/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1768 - acc: 0.9214 - val_loss: 1.4556 - val_acc: 0.8397
Epoch 400/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 1.4582 - val_acc: 0.8397
Epoch 401/500
916/916 [==============================] - 0s 81us/sample - loss: 0.1770 - acc: 0.9203 - val_loss: 1.4882 - val_acc: 0.8397
Epoch 402/500
916/916 [==============================] - 0s 80us/sample - loss: 0.1769 - acc: 0.9225 - val_loss: 1.4969 - val_acc: 0.8397
Epoch 403/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.5213 - val_acc: 0.8372
Epoch 404/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1757 - acc: 0.9225 - val_loss: 1.5230 - val_acc: 0.8397
Epoch 405/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1772 - acc: 0.9225 - val_loss: 1.5312 - val_acc: 0.8397
Epoch 406/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1754 - acc: 0.9203 - val_loss: 1.5458 - val_acc: 0.8397
Epoch 407/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1762 - acc: 0.9214 - val_loss: 1.5527 - val_acc: 0.8372
Epoch 408/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1763 - acc: 0.9192 - val_loss: 1.5360 - val_acc: 0.8422
Epoch 409/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1753 - acc: 0.9236 - val_loss: 1.5545 - val_acc: 0.8372
Epoch 410/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1753 - acc: 0.9225 - val_loss: 1.5358 - val_acc: 0.8397
Epoch 411/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1759 - acc: 0.9181 - val_loss: 1.5670 - val_acc: 0.8372
Epoch 412/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1758 - acc: 0.9192 - val_loss: 1.5781 - val_acc: 0.8372
Epoch 413/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1767 - acc: 0.9225 - val_loss: 1.5632 - val_acc: 0.8397
Epoch 414/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1758 - acc: 0.9181 - val_loss: 1.5458 - val_acc: 0.8372
Epoch 415/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 1.5599 - val_acc: 0.8422
Epoch 416/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1760 - acc: 0.9214 - val_loss: 1.5638 - val_acc: 0.8372
Epoch 417/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1754 - acc: 0.9192 - val_loss: 1.5697 - val_acc: 0.8422
Epoch 418/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 1.5817 - val_acc: 0.8397
Epoch 419/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1753 - acc: 0.9236 - val_loss: 1.5927 - val_acc: 0.8372
Epoch 420/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1762 - acc: 0.9192 - val_loss: 1.5798 - val_acc: 0.8372
Epoch 421/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 1.5574 - val_acc: 0.8397
Epoch 422/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1757 - acc: 0.9181 - val_loss: 1.5717 - val_acc: 0.8422
Epoch 423/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.5820 - val_acc: 0.8422
Epoch 424/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1756 - acc: 0.9181 - val_loss: 1.5843 - val_acc: 0.8422
Epoch 425/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1753 - acc: 0.9214 - val_loss: 1.6031 - val_acc: 0.8397
Epoch 426/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1750 - acc: 0.9214 - val_loss: 1.5808 - val_acc: 0.8397
Epoch 427/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1748 - acc: 0.9214 - val_loss: 1.5737 - val_acc: 0.8397
Epoch 428/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1764 - acc: 0.9170 - val_loss: 1.5664 - val_acc: 0.8422
Epoch 429/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1748 - acc: 0.9225 - val_loss: 1.5624 - val_acc: 0.8372
Epoch 430/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1755 - acc: 0.9236 - val_loss: 1.5529 - val_acc: 0.8422
Epoch 431/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1762 - acc: 0.9181 - val_loss: 1.5291 - val_acc: 0.8422
Epoch 432/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1760 - acc: 0.9192 - val_loss: 1.5711 - val_acc: 0.8422
Epoch 433/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1751 - acc: 0.9192 - val_loss: 1.5850 - val_acc: 0.8422
Epoch 434/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1752 - acc: 0.9214 - val_loss: 1.5814 - val_acc: 0.8397
Epoch 435/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1748 - acc: 0.9192 - val_loss: 1.5949 - val_acc: 0.8422
Epoch 436/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1750 - acc: 0.9192 - val_loss: 1.6059 - val_acc: 0.8397
Epoch 437/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1749 - acc: 0.9192 - val_loss: 1.6154 - val_acc: 0.8372
Epoch 438/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1761 - acc: 0.9192 - val_loss: 1.6359 - val_acc: 0.8397
Epoch 439/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1755 - acc: 0.9225 - val_loss: 1.6353 - val_acc: 0.8372
Epoch 440/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1768 - acc: 0.9236 - val_loss: 1.5965 - val_acc: 0.8372
Epoch 441/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1765 - acc: 0.9192 - val_loss: 1.6142 - val_acc: 0.8397
Epoch 442/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 1.6112 - val_acc: 0.8397
Epoch 443/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1748 - acc: 0.9214 - val_loss: 1.6233 - val_acc: 0.8397
Epoch 444/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 1.6256 - val_acc: 0.8397
Epoch 445/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1749 - acc: 0.9225 - val_loss: 1.6069 - val_acc: 0.8397
Epoch 446/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1751 - acc: 0.9225 - val_loss: 1.6302 - val_acc: 0.8397
Epoch 447/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1754 - acc: 0.9214 - val_loss: 1.6307 - val_acc: 0.8397
Epoch 448/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.6535 - val_acc: 0.8422
Epoch 449/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1752 - acc: 0.9181 - val_loss: 1.6422 - val_acc: 0.8397
Epoch 450/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1751 - acc: 0.9170 - val_loss: 1.6619 - val_acc: 0.8397
Epoch 451/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1757 - acc: 0.9192 - val_loss: 1.6753 - val_acc: 0.8397
Epoch 452/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1758 - acc: 0.9203 - val_loss: 1.6790 - val_acc: 0.8422
Epoch 453/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1758 - acc: 0.9214 - val_loss: 1.6150 - val_acc: 0.8372
Epoch 454/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1747 - acc: 0.9192 - val_loss: 1.6245 - val_acc: 0.8397
Epoch 455/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1754 - acc: 0.9203 - val_loss: 1.6180 - val_acc: 0.8422
Epoch 456/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1764 - acc: 0.9225 - val_loss: 1.6302 - val_acc: 0.8397
Epoch 457/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1751 - acc: 0.9192 - val_loss: 1.6375 - val_acc: 0.8397
Epoch 458/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1754 - acc: 0.9192 - val_loss: 1.6502 - val_acc: 0.8397
Epoch 459/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1754 - acc: 0.9225 - val_loss: 1.6521 - val_acc: 0.8422
Epoch 460/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1761 - acc: 0.9214 - val_loss: 1.6323 - val_acc: 0.8422
Epoch 461/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1768 - acc: 0.9236 - val_loss: 1.6748 - val_acc: 0.8422
Epoch 462/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1755 - acc: 0.9192 - val_loss: 1.6472 - val_acc: 0.8397
Epoch 463/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1775 - acc: 0.9225 - val_loss: 1.6279 - val_acc: 0.8422
Epoch 464/500
916/916 [==============================] - 0s 82us/sample - loss: 0.1749 - acc: 0.9181 - val_loss: 1.6140 - val_acc: 0.8422
Epoch 465/500
916/916 [==============================] - 0s 101us/sample - loss: 0.1756 - acc: 0.9192 - val_loss: 1.6351 - val_acc: 0.8422
Epoch 466/500
916/916 [==============================] - 0s 78us/sample - loss: 0.1749 - acc: 0.9203 - val_loss: 1.6255 - val_acc: 0.8397
Epoch 467/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 1.6268 - val_acc: 0.8397
Epoch 468/500
916/916 [==============================] - 0s 71us/sample - loss: 0.1745 - acc: 0.9192 - val_loss: 1.6256 - val_acc: 0.8397
Epoch 469/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1749 - acc: 0.9214 - val_loss: 1.6280 - val_acc: 0.8372
Epoch 470/500
916/916 [==============================] - 0s 63us/sample - loss: 0.1750 - acc: 0.9203 - val_loss: 1.6328 - val_acc: 0.8397
Epoch 471/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1757 - acc: 0.9247 - val_loss: 1.6679 - val_acc: 0.8372
Epoch 472/500
916/916 [==============================] - 0s 58us/sample - loss: 0.1746 - acc: 0.9192 - val_loss: 1.6575 - val_acc: 0.8448
Epoch 473/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1753 - acc: 0.9214 - val_loss: 1.6411 - val_acc: 0.8372
Epoch 474/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1756 - acc: 0.9192 - val_loss: 1.6347 - val_acc: 0.8372
Epoch 475/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1755 - acc: 0.9214 - val_loss: 1.6147 - val_acc: 0.8422
Epoch 476/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1767 - acc: 0.9192 - val_loss: 1.6462 - val_acc: 0.8372
Epoch 477/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1774 - acc: 0.9203 - val_loss: 1.5282 - val_acc: 0.8397
Epoch 478/500
916/916 [==============================] - 0s 67us/sample - loss: 0.1779 - acc: 0.9236 - val_loss: 1.5785 - val_acc: 0.8422
Epoch 479/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1765 - acc: 0.9214 - val_loss: 1.4288 - val_acc: 0.8372
Epoch 480/500
916/916 [==============================] - 0s 68us/sample - loss: 0.1753 - acc: 0.9181 - val_loss: 1.4766 - val_acc: 0.8422
Epoch 481/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1763 - acc: 0.9214 - val_loss: 1.5676 - val_acc: 0.8372
Epoch 482/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1763 - acc: 0.9192 - val_loss: 1.5566 - val_acc: 0.8397
Epoch 483/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1756 - acc: 0.9170 - val_loss: 1.5574 - val_acc: 0.8372
Epoch 484/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1748 - acc: 0.9214 - val_loss: 1.5717 - val_acc: 0.8397
Epoch 485/500
916/916 [==============================] - 0s 70us/sample - loss: 0.1751 - acc: 0.9225 - val_loss: 1.5697 - val_acc: 0.8372
Epoch 486/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1748 - acc: 0.9159 - val_loss: 1.5780 - val_acc: 0.8448
Epoch 487/500
916/916 [==============================] - 0s 77us/sample - loss: 0.1753 - acc: 0.9236 - val_loss: 1.5707 - val_acc: 0.8372
Epoch 488/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1760 - acc: 0.9225 - val_loss: 1.5876 - val_acc: 0.8397
Epoch 489/500
916/916 [==============================] - 0s 66us/sample - loss: 0.1743 - acc: 0.9203 - val_loss: 1.6118 - val_acc: 0.8397
Epoch 490/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1752 - acc: 0.9236 - val_loss: 1.5973 - val_acc: 0.8372
Epoch 491/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1753 - acc: 0.9247 - val_loss: 1.5828 - val_acc: 0.8372
Epoch 492/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1751 - acc: 0.9225 - val_loss: 1.5698 - val_acc: 0.8397
Epoch 493/500
916/916 [==============================] - 0s 59us/sample - loss: 0.1753 - acc: 0.9203 - val_loss: 1.5669 - val_acc: 0.8397
Epoch 494/500
916/916 [==============================] - 0s 62us/sample - loss: 0.1761 - acc: 0.9225 - val_loss: 1.5817 - val_acc: 0.8397
Epoch 495/500
916/916 [==============================] - 0s 61us/sample - loss: 0.1757 - acc: 0.9214 - val_loss: 1.6273 - val_acc: 0.8397
Epoch 496/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1756 - acc: 0.9203 - val_loss: 1.6319 - val_acc: 0.8372
Epoch 497/500
916/916 [==============================] - 0s 57us/sample - loss: 0.1754 - acc: 0.9236 - val_loss: 1.6400 - val_acc: 0.8346
Epoch 498/500
916/916 [==============================] - 0s 64us/sample - loss: 0.1749 - acc: 0.9214 - val_loss: 1.6391 - val_acc: 0.8372
Epoch 499/500
916/916 [==============================] - 0s 60us/sample - loss: 0.1748 - acc: 0.9214 - val_loss: 1.6791 - val_acc: 0.8346
Epoch 500/500
916/916 [==============================] - 0s 65us/sample - loss: 0.1753 - acc: 0.9225 - val_loss: 1.6735 - val_acc: 0.8372
In [326]:
In [327]:
[[4.87956345e-01 5.12043655e-01]
 [1.00000000e+00 0.00000000e+00]
 [9.99990702e-01 9.29832458e-06]
 ...
 [2.51247525e-01 7.48752475e-01]
 [3.47714871e-02 9.65228498e-01]
 [5.00362515e-01 4.99637485e-01]]
In [328]:
/home/abhijit/.local/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: divide by zero encountered in double_scalars
  This is separate from the ipykernel package so we can avoid doing imports until
In [329]:
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In [281]:
In [282]:
In [330]:
Out[330]:
DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=6,
                       max_features=None, max_leaf_nodes=None,
                       min_impurity_decrease=0.0, min_impurity_split=None,
                       min_samples_leaf=8, min_samples_split=2,
                       min_weight_fraction_leaf=0.0, presort=False,
                       random_state=100, splitter='best')
In [335]:
Out[335]:
0.8651399491094147
In [336]:
In [339]:
Out[339]:
'titanic.pdf'
In [367]:
feat importance = [0.00000000e+00 3.61136190e-03 1.39727482e-02 2.77128356e-01
 0.00000000e+00 1.01837874e-02 3.36657108e-03 0.00000000e+00
 3.66875884e-03 0.00000000e+00 4.96683522e-03 3.87192368e-03
 0.00000000e+00 4.20667376e-04 4.60591655e-03 8.34158579e-03
 0.00000000e+00 4.42596721e-03 6.48457847e-03 0.00000000e+00
 8.54240790e-04 2.40717013e-04 0.00000000e+00 6.19429971e-04
 6.36079009e-03 8.23858955e-05 0.00000000e+00 7.82349745e-03
 3.09307607e-03 6.90860184e-03 0.00000000e+00]
In [368]:
31
In [370]:
Index(['Survived', 'Pclass_1', 'Pclass_2', 'Pclass_3', 'Sex_female',
       'Sex_male', 'Embarked_C', 'Embarked_Q', 'Embarked_S', 'name_1',
       'name_2', 'name_3', 'name_4', 'name_5', 'Siblings_0', 'Siblings_1',
       'Parent_0', 'Parent_1', 'age_1', 'age_2', 'age_3', 'age_4', 'age_5',
       'fare_1', 'fare_2', 'fare_3', 'fare_4', 'fare_5', 'ticket_0',
       'ticket_1', 'cabin_0', 'cabin_1'],
      dtype='object')
In [371]:

Logistic Regression

In [340]:
In [341]:
In [378]:
Out[378]:
LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
                   intercept_scaling=1, l1_ratio=None, max_iter=100,
                   multi_class='warn', n_jobs=None, penalty='l2',
                   random_state=0, solver='liblinear', tol=0.0001, verbose=0,
                   warm_start=False)
In [344]:
Out[344]:
0.8651399491094147
In [345]:
In [346]:
[[ 0.12274084  0.5433339   0.21922863 -0.63982169  1.45315131 -1.33041046
   0.0827389   0.22923408 -0.22390968  0.56095332 -1.14391015 -0.04797768
   1.28082004 -0.52714469  0.30183458 -0.17909374  0.37075839 -0.24801754
   0.37928751  0.22380996  0.12957386 -0.51560858 -0.09432191 -0.18315589
  -0.00641827  0.49388734 -0.09299957 -0.08857277  0.10037632  0.02236453
  -0.34099133  0.46373217]]
In [348]:
32
In [349]:
Index(['Survived', 'Pclass_1', 'Pclass_2', 'Pclass_3', 'Sex_female',
       'Sex_male', 'Embarked_C', 'Embarked_Q', 'Embarked_S', 'name_1',
       'name_2', 'name_3', 'name_4', 'name_5', 'Siblings_0', 'Siblings_1',
       'Parent_0', 'Parent_1', 'age_1', 'age_2', 'age_3', 'age_4', 'age_5',
       'fare_1', 'fare_2', 'fare_3', 'fare_4', 'fare_5', 'ticket_0',
       'ticket_1', 'cabin_0', 'cabin_1'],
      dtype='object')
In [350]:
In [377]:
Index(['Pclass_1', 'Pclass_2', 'Pclass_3', 'Sex_female', 'Sex_male',
       'Embarked_C', 'Embarked_Q', 'Embarked_S', 'name_1', 'name_2', 'name_3',
       'name_4', 'name_5', 'Siblings_0', 'Siblings_1', 'Parent_0', 'Parent_1',
       'age_1', 'age_2', 'age_3', 'age_4', 'age_5', 'fare_1', 'fare_2',
       'fare_3', 'fare_4', 'fare_5', 'ticket_0', 'ticket_1', 'cabin_0',
       'cabin_1'],
      dtype='object')
Index(['Constant', 'Pclass_1', 'Pclass_2', 'Pclass_3', 'Sex_female',
       'Sex_male', 'Embarked_C', 'Embarked_Q', 'Embarked_S', 'name_1',
       'name_2', 'name_3', 'name_4', 'name_5', 'Siblings_0', 'Siblings_1',
       'Parent_0', 'Parent_1', 'age_1', 'age_2', 'age_3', 'age_4', 'age_5',
       'fare_1', 'fare_2', 'fare_3', 'fare_4', 'fare_5', 'ticket_0',
       'ticket_1', 'cabin_0', 'cabin_1'],
      dtype='object')
In [ ]: